Aqua Security acquires Argon to protect the software supply chain – VentureBeat

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Cloud-native application protection firm Aqua Security announced today it has acquired Argon, a startup with capabilities for securing the software supply chain, amid a growing push to ensure application security from the get-go as part of the development process.

Cofounder and CEO Dror Davidoff said in an email to VentureBeat that combining Aqua Security with Argon creates the industrys first and only solution to secure all stages of software build and release.

Ramat Gan, Israel-based Aqua Security did not disclose the terms of the acquisition, though Davidoff said the acquisition price is in the tens of millions of dollars. Founded in 2020, Tel Aviv, Israel-based Argon had raised $4 million in funding and will bring 30 employees and several dozen customers, in addition to its technology for app development security.

According to a recent study by Sonatype, software supply chain attacks have soared by 650% since mid-2020, due in large part to infiltration of open source software.

Meanwhile, high-profile attacks such as the SolarWinds breach have made the software supply chain issue impossible to ignore. Discovered roughly a year ago, the attack involved malicious code that was inserted into the widely used SolarWinds Orion network monitoring software, then unknowingly distributed to customers including numerous federal agencies.

Other recent software supply chain incidents have included a breach that affected developer tool Codecov, discovered in April.

Increasing pressures on developers appear to be worsening the problem. A recent survey by Invicti Security found that 70% of development teams always or frequently skip security steps due to time pressures when completing projects.

Argon enables users to evaluate existing code repositories and infrastructure, scanning both code and artifacts, to ensure immutability of code from creation through to runtime, Davidoff said.

Argons technology can discover and map continuous integration (CI) and continuous delivery (CD) pipelines, use a zero-trust approach to securing the DevOps toolchain itself, and validate the integrity of code and artifacts at every stageultimately preventing the next SolarWinds or CodeCov attacks, he said.

To date, Aqua has enabled customers to protect their cloud-native application builds starting from the container image or function build stage, and does so for the application artifactsbut not for the CI/CD toolchain itself, Davidoff said.

Argon now allows our customers to both further shift left and start ensuring code integrity earlier in the supply chain, as well as ensuring that the DevOps tools themselves are properly configured and not susceptible to unwanted integrations, webhooks, and triggers, he said.

The injection of malicious code into the pipeline, la SolarWinds, is precisely the type of attack that Argon protects against, Davidoff said. Argon would have identified weak configuration, permissions issues, and non-approved plugins, and detected the malicious code before it was distributed.

Software supply chain protection is an early-stage market, but Aqua expects this segment of the market to grow massively over the next few years, Davidoff said.

With the addition of Argons technology, Aqua sees an opportunity both to expand its customer base and to grow with existing customers, he said.

Initial integrations of the technology will be available in the first quarter of 2022, and Aqua expects a full integration before the end of 2022, according to Davidoff.

In terms of headcount, Aqua Security now employs 500 with the addition of the Argon team, he said.

Argons executives will join Aquas R&D and product teams, with their exact titles still to be determined, Davidoff said. The startups founders are Eilon Elhadad and Eylam Milner, who formerly led security and engineering teams within the Israeli military.

Aqua Security describes its offering, the Aqua Platform, as a complete cloud-native application protection platform, or CNAPP. The vendor has seen high double-digit revenue and customer growth for its CNAPP so far this year, said Rani Osnat, senior vice president of strategy at the company, in a recent interview with VentureBeat. Aqua reports having a customer base of 500 enterprises.

The company has offered capabilities for scanning applications during development, including infrastructure as code (IaC) security scanning, since its launch in 2015.

In terms of workload protection, Aqua focused on containers at the beginning and added serverless and virtual machines in 2017 to give it full cloud workload protection capabilities.

Previous acquisitions by Aqua Security included CloudSploit in 2019, which added capabilities to its platform for spotting misconfigurations in cloud infrastructure, also known as cloud security posture management. In July, Aqua Security acquired open source IaC security scanner TFsec.

Recent enhancements to Aquas CNAPP offering have included the addition of cloud-native detection and response, which provides monitoring and detection to identify zero-day attacks in cloud-native environments.

In March, Aqua Security raised $135 million in series E funding, led by ION Crossover Partners, at a $1 billion valuation.

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Aqua Security acquires Argon to protect the software supply chain - VentureBeat

Netflix CEO Apologizes for Having Principles

There's really no good reason why we should still be talking about Dave Chappelle's 2-week-old standup special The Closer. Except that Netflix employees have wielded it as means of inserting themselves into high-level company affairs, demanding that the company accede to their demands, seemingly as penance for its decision to platform Chappelle.

For people who have actually committed an hour of their time to watching the special, it's a stretch to portray Chappelle as a man with animus toward the trans community. He makes a point of opposing North Carolina's bathroom bills, which would bar transgender people from using the bathroom of their choice, saying that no American should have to show their birth certificate to take a shit in a Walmart bathroom (true). He attempts to delineate the difference between such mean-spirited laws and feeling annoyed by the quickly changing elite consensus that we must actively cheer on the transgender rights movement, as opposed to just not being all that interested in the demands of a niche subgroup. He closes with a tale of his friend, the transgender comic Daphne Dorman, who committed suicide purportedly after facing online fury from people in the trans community (though Chappelle takes care not to assign a singular cause to her decision to take her own life). The through line is a commentary on the plight of the black man in America, along with a lamentation that it's terribly easy for people to get barred from polite society, immediately and retroactively, for committing acts or uttering words that offend people's poorly-calibrated sensibilities.

The special is characteristically irreverentwhich you should expect if you've seen literally anything that Chappelle has ever worked on before. And it created such a firestorm of internal criticism that Netflix's trans employee resource group organized a walkout, which took place earlier today, while laying a list of demands at the feet of Netflix executives.

The walkout itself didn't amount to much (a not-huge crowd of Netflix employees, plus some counter protesters with cutely tepid signs like "We like Dave" and "I like jokes"), but Twitter really wanted users to believe it was a big deal, promoting the walkout as a trending moment. Several prominent actors and comedians, like Elliot Page and Wanda Sykes, drummed up support for the protest. The protesters' demands, which interestingly do not actually call for deplatforming Chappelle, involve specific asks: the company must add disclaimers before transphobic or hate speech-promoting content; suggest "trans-affirming" content alongside content deemed transphobic; "hire trans and non-binary content executives, especially BIPOC, in leading positions"; create a new fund that specifically cultivates and platforms work by trans and non-binary creators; and revise the processes involved in curating transphobic content. Having pried the door open, low-level transgender rights activist-employees are trying to force Netflix executives to engage in affirmative action and aggressive content moderation.

Netflix co-CEO Ted Sarandos, who had recently defended Chappelle in a letter to employees ("content on screen doesn't directly translate to real-world harm," he wrote) now says he miscalculated. "I should have led with a lot more humanity. I had a group of employees who were definitely feeling pain and hurt from a decision we made," he toldVariety. "Because we're trying to entertain the world, and the world is made up of folks with a lot of different sensibilities and beliefs and senses of humor and all those things sometimes, there will be things on Netflix that you dislike," Sarandos continued, saying they'll draw the line at content that calls for intentionally "physically harming other people" and hyping the company's "creative equity fund," which supports trans and non-binary content creators. Sarandos' did not reiterate his initial question of whether content that appears on screen will "directly translate to real-world harm."

It's good that Sarandos hasn't fully backed down from his defense of supplying artistic freedom to creators who partner with Netflix, and it's perfectly reasonable for CEOs to want to cultivate content that appeals to different subgroups. But he blundered by ceding ground to a small group of employees who are making radical demands concerning the structure and priorities of a massive company with customers all over the world. After initially defending a good decision, Sarandos looks a bit like another CEO in a long line whose employees successfully held their feet to the fire, demanding a digital world littered with content warnings and a physical world filled with diversity hires.

This moment of moral panic is predicated on the idea that portrayal or discussion of bad actions in some way leads more people to commit terrible acts that end up harming the physical safety of vulnerable people. We don't have good data to indicate this (except perhaps when it comes to portrayal of suicides, where data better bears out the idea of a contagion effect), but people uncritically fling this concept around, rarely pausing to ask whether Chappelle's jokes about trans people carry a radicalizing power that converts otherwise benevolent decent people into violent transphobes. We have no evidence to indicate they do, and for whatever reason, this essential question has been repeatedly pushed aside, as if it bears no relevance to how we should forge ahead.

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Netflix CEO Apologizes for Having Principles

Trump sues to reinstate his Twitter account – The Verge

Former President Donald Trump has filed a lawsuit in Florida seeking to force Twitter to reinstate him, arguing the platforms ban violates the First Amendment and Floridas new social media law.

Trump is seeking a preliminary injunction of Twitters ban, according to the complaint filed in the Southern District of Florida late Friday. The former president argues that Twitter, coerced by members of the United States Congress, is censoring him, describing the social media platform as a major avenue of public discourse. Trump seeks to be temporarily reinstated on Twitter while he continues his efforts toward permanent reinstatement.

Twitter exercises a degree of power and control over political discourse in this country that is immeasurable, historically unprecedented, and profoundly dangerous to open democratic debate, the complaint states. The former president used his @RealDonaldTrump account to announce policy and personnel decisions (often to the surprise of the agencies and people involved), criticize political enemies, and spread misinformation about election results.

Twitter permanently banned @RealDonaldTrump in January, two days after the deadly January 6th riot at the Capitol building by pro-Trump supporters seeking to prevent the certification of Joe Bidens victory in the 2020 presidential election. Twitter at first put a 12-hour ban on the former presidents account for repeated and severe violations of our Civic Integrity policy after he posted tweets repeating lies that the election was stolen. The platform made the ban permanent two days later. Other social platforms, including Facebook, Snapchat and YouTube, also banned the former president after the January 6th riots. Facebooks Oversight Board later upheld that platforms decision.

In the Friday filing, Trump argues that his Twitter account became an important source of news and information about government affairs and was a digital town hall, where the former president posted his views. At the time of the ban, Trump had 88 million Twitter followers. Twitter also censored him during his presidency, Trump claims, by labeling some of his tweets as misleading information, which the platform said violated its rules against glorifying violence.

Trumps complaint also cites Floridas new social media law, which prohibits social media companies from knowingly deplatforming politicians, and requires the platforms to apply censorship, deplatforming, and shadow banning standards in a consistent manner. Trump argues that Twitter has not enforced its standards in a consistent manner. Gov. Ron DeSantis signed the law in May, but a federal judge blocked it in July before it could take effect. DeSantis administration is appealing that decision.

The former president also said Twitter applied its rules about COVID-19 posts inconsistently, to placate government actors who generally approved of the protests of the summer of 2020, but disapproved of the events of January 6. The media had claimed, Trump argues, that the January 6th riot was a source of COVID-19 infection, but the summer protests were not. Data from numerous reports found no increase in COVID-19 cases in cities where there were large protests in the summer of 2020, noting that outdoor masking at the events likely helped keep cases down.

Twitter declined to comment Saturday.

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Trump sues to reinstate his Twitter account - The Verge

Sound bite – Wikipedia

Short audio clip extracted from a recording

A sound bite or soundbite[1] is a short clip of speech or music extracted from a longer piece of audio, often used to promote or exemplify the full length piece. In the context of journalism, a sound bite is characterized by a short phrase or sentence that captures the essence of what the speaker was trying to say, and is used to summarize information and entice the reader or viewer. The term was coined by the U.S. media in the 1970s. Since then, politicians have increasingly employed sound bites to summarize their positions.

Due to its brevity, the sound bite often overshadows the broader context in which it was spoken, and can be misleading or inaccurate. The insertion of sound bites into news broadcasts or documentaries is open to manipulation, leading to conflict over journalistic ethics.

In the 1960s and 1970s, pressure from advertisers on the American television industry to create entertaining news material made sound bites central to political coverage. Politicians began to use PR techniques to craft self-images and slogans that would resonate with the television-viewing audience and ensure their victory in campaigns.[2] The term "sound bite" was coined in the late 1970s, several years before the presidency of Ronald Reagan, who was famous for short, memorable phrases like, "Mr. Gorbachev, tear down this wall!" in reference to the Berlin Wall.[3]

During the 1988 United States presidential election, candidate Michael Dukakis highlighted the prominent role of sound bites and spin doctors in political campaigns by running a commercial that mocked contender George H.W. Bush's handlers' frustration over the gaffes of his vice presidential running-mate Dan Quayle.[4]

In journalism, sound bites are used to summarize the position of the speaker, as well as to increase the interest of the reader or viewer in the piece. In both print and broadcast journalism, sound bites are conventionally juxtaposed and interspersed with commentary from the journalist to create a news story. A balanced news report is expected to contain sound bites representing both sides of the debate.[5] This technique, however, can lead to biased reporting when a sound bite is selected for sensationalism, or is used to promote the point of view of one individual or group over another.[6]

In his book The Sound Bite Society, Jeffrey Scheuer argues that the sound bite was the product of television's increased power over all forms of communication, and that the resulting trend toward short, catchy snippets of information had a significant negative impact on American political discourse.[7] In contrast, Peggy Noonan feels that sound bites have acquired a negative connotation but are not inherently negative, and that what we now think of as great historical sound bitessuch as "The only thing we have to fear is fear itself", the most famous phrase in Franklin D. Roosevelt's first Inaugural Addresswere examples of eloquent speakers unselfconsciously and "simply trying in words to capture the essence of the thought they wished to communicate."[8]

The increased use of sound bites in news media has been criticized, and has led to discussions on journalistic and media ethics.[9] According to the Code of Ethics of the Society of Professional Journalists, journalists should "make certain that headlines, news teases and promotional material, photos, video, audio, graphics, sound bites and quotations do not misrepresent. They should not oversimplify or highlight incidents out of context."[10]

Despite this criticism, sound bites are widely employed by businesses, trade groups, labor unions and politicians. Senator Jim DeMint readily admitted this when he said, "Theres a reason why most politicians talk in sanitized sound bites: Once you get out of that, youre opening yourself up to get attacked."[11]

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Sound bite - Wikipedia

Judge Blocks Texas Bill That Aimed to Ban Social-Media ‘Deplatforming’ – Business Insider

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A Texas bill signed by Gov. Greg Abbott in September, which was designed to stop social media companies from censoring users based on their political "viewpoint," has been blocked by a federal judge a day before it was due to come into force.

In a filing submitted to an Austin, Texas district court, Judge Robert Pitman ruled that the bill called HB 20 would violate social media companies' First Amendment right to exercise editorial control over the content that appears on their platforms.

"HB 20 prohibits virtually all content moderation, the very tool that social medial platforms employ to make their platforms safe, useful, and enjoyable for users," the filing states.

HB 20 was due to come into force on Thursday.

Pitman's ruling came in response to a legal challenge by NetChoice and the CCIA, two industry groups whose members include Google, Amazon, Meta (formerly known as Facebook), and Twitter.

The CCIA said in a press release: "Today's outcome is not surprising. The First Amendment ensures that the Government can't force a citizen or company to be associated with a viewpoint they disapprove of, and that applies with particular force when a State law would prevent companies from enforcing policies against Nazi propaganda, hate speech, and disinformation from foreign agents."

A similar bill signed in Florida by Gov. Ron DeSantis in May was blocked by a federal judge in July, also citing First Amendment violations.

Abbott and DeSantis are among Republican lawmakers who say social media companies unfairly target conservative voices when enforcing their moderation rules. When he signed HB 20 in September, Gov. Abbott said: "There is a dangerous movement by some social media companies to silence conservative ideas and values."

Former President Trump also accused social media companies of displaying a bias against conservative voices.

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Judge Blocks Texas Bill That Aimed to Ban Social-Media 'Deplatforming' - Business Insider

States are the last line of defense against Big Tech – Washington Examiner

While the Biden administration appears uninterested in combating online censorship, that doesnt mean conservatives are powerless to do anything about it. States can act, and they must if they hope to protect First Amendment freedoms.

Major technology companies such as Facebook, Twitter, and Google control most of the spread of information online. They openly use this power to suppress disfavored views. Big Tech deplatformed former President Donald Trump, suppressed reporting on Hunter Bidens laptop scandal, and prohibited posts speculating that COVID-19 escaped from a lab in Wuhan, China. One poll found nearly half of the public knows someone who has been censored online. No wonder polling shows people overwhelmingly believe Big Tech companies are censoring their users.

These companies and their allies argue state governments have no power to prevent online censorship. They contend that Section 230 of the Communications Decency Act allows them to remove any posts they want. Moreover, they argue First Amendment free speech rights allow them to pick and choose what content they will host on their platform.

These arguments persuaded conservative states such as North Dakota and Utah not to pass laws combating tech censorship. However, Big Tech overstates its case. States can and should protect free speech in a manner consistent with the First Amendment and Section 230.

It is true that the First Amendment generally prevents the government from forcing companies to transmit a specific message. But the government can require communications companies to serve everyone impartially. Common carrier regulations prohibit telephone companiesand telegraph lines before themfrom discriminating against particular users. The Supreme Court has long considered these requirements constitutional.

Imagine if your cellphone company cut your service because you were criticizing a particular politician. States can constitutionally prohibit such censorship. They can similarly stop Big Tech from discriminating against its users.

The Supreme Court has never interpreted the scope of the immunity Section 230 provides. It is true that some lower courts have interpreted the statute very broadly,reading it to protect virtually all decisions to restrict content. Other courts have paid closer attention to Section 230s statutory text. These courts interpret its immunity much more narrowly. Under these textual precedents, Section 230 only immunizes platforms that take down content in good faith. That allows states to pass laws against bad faith content moderation,such as selectively applying terms of service to suppress disfavored views. Until the Supreme Court clarifies this judicial debate, states have room to act, relying on the textual precedents.

Of course, Big Tech will likely sue over any new laws. Companies quickly sued Florida and Texas when those states passed social media free speech laws earlier this year. A Clinton-appointed judge enjoined the Florida law that ruling is under appeal while the Texas lawsuit is ongoing. Both cases underscore the importance for state legislators of drafting new laws carefully to maximize their odds of legal success.

The America First Policy Institute has produced model legislation that legislators can use to prevent Big Tech censorship. This proposal treats major social media companies as common carriers. It prohibits them from deplatforming users and requires them to moderate content in good faith; they cannot selectively apply their terms of service. It also prohibits platforms from discriminating against content based on its political, philosophical, or religious views. These common carrier regulations fit comfortably within the textual interpretation of Section 230.

The draft bill also contains a legal backstop. Some of the courts that interpret Section 230 broadly, including the liberal 9th Circuit Court of Appeals, nonetheless hold that, if a platform contractually commits to content moderation standards, that promise is legally enforceable.

So, the model legislation encourages the platforms to protect free speech in their terms of service. It imposes hefty, but not crushing, fees on big social media platforms that do not protect free speech. It then exempts platforms that incorporate the common carrier free speech protections into their terms of service. These terms of service would let users sue over violations. Courts that take a broad view of Section 230 may nonetheless enforce these contracts, thereby protecting free speech.

Moreover, this provision would be difficult to sue against. States have broad authority to tax, meaning that judges are unlikely to strike down the new fees. So, if a lawsuit struck down the exemption for noncensorious platforms, Big Tech would simply have to pay the fees.

Big Tech is deciding who can speak on the internet and what they can say. The public does not have to submit to this corporate censorship. States have the power to protect free speech. The only question is, will they?

JamesSherkis the director of the Center for American Freedom at the America First Policy Institute. He previously served as a special assistant to the president in the Domestic Policy Council at the White House during the Trump administration.

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States are the last line of defense against Big Tech - Washington Examiner

Twitter’s New Rule Lets It Selectively Ban Memes, Mockery Of Democrats – The Federalist

Twitter announced a new set of rules on Tuesday that effectively bans the dissemination of memes and the mockery of public figures.

The changes come one day after Twitter co-founder and former CEO Jack Dorsey resigned to usher in a new era under free-speech foe and new CEO Parag Agrawal, who, while he served as Twitters chief technology officer, expressed disregard for the First Amendment.

Under the new Twitter policy, photos of public figures will be subject to removal based on the censorship platforms desires.

This policy is not applicable to media featuring public figures or individuals when media and accompanying Tweet text are shared in the public interest or add value to public discourse, the policy states. However, if the purpose of the dissemination of private images of public figures or individuals who are part of public conversations is to harass, intimidate, or use fear to silence them, we may remove the content in line with our policy against abusive behavior.

Twitter clarified that exceptions would be made for content that you guessed it corrupt left-wing corporate media outlets deem acceptable.

We will always try to assess the context in which the content is shared and, in such cases, we may allow the images or videos to remain on the service. For instance, we would take into consideration whether the image is publicly available and/or is being covered by mainstream/traditional media (newspapers, TV channels, online news sites), or if a particular image and the accompanying tweet text adds value to the public discourse, is being shared in public interest, or is relevant to the community.

As some Twitter users pointed out, with this new policy, the Big Tech company has carved out a way to justify removing or banning any content it deems irrelevant and effectively solidifies Twitters role as a gatekeeper of information instead of the free-speech platform it once claimed to be.

These tactics have, of course, been used by Twitter in the past to justify stifling the spread of the Hunter Biden laptop story, subduing content about COVID-19 treatments and vaccine side effects, and intentionally deplatforming former President Donald Trump. But the updated policy suggests the Silicon Valley giants net is getting wider and seeks to stop even the smallest of accounts from sharing information that could damage Democrats or their propaganda narratives.

Jordan Boyd is a staff writer at The Federalist. She graduated from Baylor University where she majored in political science and minored in journalism.

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Twitter's New Rule Lets It Selectively Ban Memes, Mockery Of Democrats - The Federalist

Microsoft and KPMG will try out quantum algorithms on real-world problems – GeekWire

Krysta Svore, general manager of Microsoft Quantum, explains how quantum computing hardware works during a Seattle science conference in 2020. (GeekWire Photo / Alan Boyle)

Microsoft and KPMG are getting set to test Azure Quantums capabilities on the sorts of real-world problems that should give quantum computing an edge over traditional approaches.

Such problems have to do with optimizing systems and networks, such as where best to place cellular phone towers or how to allocate investments to match a clients priorities relating to risks vs. rewards.

Optimization problems are found in many industries and are often difficult to solve using traditional methods which can accelerate optimization, Krysta Svore, general manager of Microsoft Quantum, explained today in a blog post. Emulating these quantum effects on classical computers has led to the development of quantum-inspired optimization (QIO) algorithms that run on classical hardware.

Such algorithms reflect the quantum perspective, in which information doesnt necessarily take the form of rigid ones and zeroes but can instead reflect a range of values simultaneously during processing. The beauty of QIO algorithms is that they dont need to run on honest-to-goodness quantum processors, which are still in their infancy.

The Microsoft-KPMG partnership gives both companies a chance to tweak the algorithms and how theyre used to maximize Azure Quantums QIO capabilities.

The Azure Quantum platform allows us to explore numerous different solver approaches utilizing the same code, helping to minimize re-work and improve efficiency, said Bent Dalager, global head of KPMGs Quantum Hub. The shared goal for these initial projects is to build solution blueprints for common industry optimization problems using Azure Quantum, which we can then provide to more clients at scale.

This isnt the first time for Microsofts quantum computing team has experimented with real-world optimization challenges: A couple of years ago, researchers at Microsoft and Ford used QIO algorithms to analyze strategies for smoothing out the Seattle areas traffic snarls. Preliminary studies showed a decrease of more than 70% in congestion and an 8% reduction in average travel time.

Last year, Toyota Tsusho and a Japanese startup called Jij used Azure Quantum to optimize the timing of traffic signals. They found that QIO algorithms could reduce the waiting time for drivers stopped at red lights by about 20%, saving an average of about 5 seconds for each car. And California-based Trimble turned to Azure Quantum to identify the most efficient routes for fleets of vehicles, ensuring that fewer trucks run empty.

The Microsoft-KPMG project will start out focusing on benchmarking solutions for optimizing financial services portfolios and telecommunications operations.

Portfolio optimization has to do with balancing the mix of investments to minimize risk and maximize profit while staying within a given budget. As financial options get more complex, it becomes difficult to assess those options using a brute-force analytical approach but QIO algorithms are well-suited to take on the challenge.

Quantum-inspired optimization could also increase the efficiency of voice-over-LTE telecom networks, leading to a better user experience for customers. Down the line, the project could look into optimization strategies for cell tower placement, mobile handover between cell towers, and staff scheduling for call centers.

The teams plan to share results in the coming months, Svore said.

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Microsoft and KPMG will try out quantum algorithms on real-world problems - GeekWire

The future of scientific research is quantum – TNW

Over the past few years, the capabilities of quantum computers have reached the stage where they can be used to pursue research with widespread technological impact. Through their research, the Q4Q team at the University of Southern California, University of North Texas, and Central Michigan University, explores how software and algorithms designed for the latest quantum computing technologies can be adapted to suit the needs of applied sciences. In a collaborative project, the Q4Q team sets out a roadmap for bringing accessible, user-friendly quantum computing into fields ranging from materials science, to pharmaceutical drug development.

Since it first emerged in the 1980s, the field of quantum computing has promised to transform the ways in which we process information. The technology is centered on the fact that quantum particles such as electrons exist in superpositions of states. Quantum mechanics also dictates that particles will only collapse into one single measurable state when observed by a user. By harnessing these unique properties, physicists discovered that batches of quantum particles can act as more advanced counterparts to conventional binary bits which only exist in one of two possible states (on or off) at a given time.

On classical computers, we write and process information in a binary form. Namely, the basic unit of information is a bit, which takes on the logical binary values 0 or 1. Similarly, quantum bits (also known as qubits) are the native information carriers on quantum computers. Much like bits, we read binary outcomes of qubits, that is 0 or 1 for each qubit.

However, in a stark contrast to bits, we can encode information on a qubit in the form of a superposition of logical values of 0 and 1. This means that we can encode much more information in a qubit than in a bit. In addition, when we have a collection of qubits, the principle of superposition leads to computational states that can encode correlations among the qubits, which are stronger than any type of correlations achieved within a collection of bits. Superposition and strong quantum correlations are, arguably, the foundations on which quantum computers rely on to provide faster processing speeds than their classical counterparts.

To realize computations, qubit states can be used in quantum logic gates, which perform operations on qubits, thus transforming the input state according to a programmed algorithm. This is a paradigm for quantum computation, analogous to conventional computers. In 1998, both qubits and quantum logic gates were realized experimentally for the first time bringing the previously-theoretical concept of quantum computing into the real world.

From this basis, researchers then began to develop new software and algorithms, specially designed for operations using qubits. At the time, however, the widespread adoption of these techniques in everyday applications still seemed a long way off. The heart of the issue lay in the errors that are inevitably introduced to quantum systems by their surrounding environments. If uncorrected, these errors can cause qubits to lose their quantum information, rendering computations completely useless. Many studies at the time aimed to develop ways to correct these errors, but the processes they came up with were invariably costly and time-consuming.

Unfortunately, the risk of introducing errors to quantum computations increases drastically as more qubits are added to a system. For over a decade after the initial experimental realization of qubits and quantum logic gates, this meant that quantum computers showed little promise in rivalling the capabilities of their conventional counterparts.

In addition, quantum computing was largely limited to specialized research labs, meaning that many research groups that could have benefited from the technology were unable to access it.

While error correction remains a hurdle, the technology has since moved beyond specialized research labs, becoming accessible to more users. This occurred for the first time in 2011, when the first quantum annealer was commercialized. With this event, feasible routes emerged towards reliable quantum processors containing thousands of qubits capable of useful computations.

Quantum annealing is an advanced technique for obtaining optimal solutions to complex mathematical problems. It is a quantum computation paradigm alternative to operating on qubits with quantum logic gates.

The availability of commercial quantum annealers spurned a new surge in interest for quantum computing, with consequent technological progress, especially fueled by industrial capitals. In 2016, this culminated in the development of a new cloud system based on quantum logic gates, which enabled owners and users of quantum computers around the world to pool their resources together, expanding the use of the devices outside of specialized research labs. Before long, the widespread use of quantum software and algorithms for specific research scenarios began to look increasingly realistic.

At the time, however, the technology still required high levels of expertise to operate. Without specific knowledge of the quantum processes involved, researchers in fields such as biology, chemistry, materials science, and drug development could not make full use of them. Further progress would be needed before the advantages of quantum computing could be widely applied outside the field of quantum mechanics itself.

Now, the Q4Q team aims to build on these previous advances using user-friendly quantum algorithms and software packages to realize quantum simulations of physical systems. Where the deeply complex properties of these systems are incredibly difficult to recreate within conventional computers, there is now hope that this could be achieved using large systems of qubits.

To recreate the technologies that could realistically become widely available in the near future, the teams experiments will incorporate noisy intermediate-scale quantum (NISQ) devices which contain relatively large numbers of qubits, and by themselves are prone to environmental errors.

In their projects, the Q4Q team identifies three particular aspects of molecules and solid materials that could be better explored through the techniques they aim to develop. The first of these concerns the band structures of solids which describe the range of energy levels that electrons can occupy within a solid, as well as the energies they are forbidden from possessing.

Secondly, they aim to describe the vibrations and electronic properties of individual molecules each of which can heavily influence their physical properties. Finally, the researchers will explore how certain aspects of quantum annealing can be exploited to realize machine-learning algorithms which automatically improve through their experience of processing data.

As they apply these techniques, the Q4Q team predicts that their findings will lead to a better knowledge of the quantum properties of both molecules and solid materials. In particular, they hope to provide better descriptions of periodic solids, whose constituent atoms are arranged in reliably repeating patterns.

Previously, researchers struggled to reproduce the wavefunctions of interacting quantum particles within these materials, which relate to the probability of finding the particles in particular positions when observed by a user. Through their techniques, the Q4Q team aims to reduce the number of qubits required to capture these wavefunctions, leading to more realistic quantum simulations of the solid materials.

Elsewhere, the Q4Q team will account for the often deeply complex quantum properties of individual molecules made up of large groups of atoms. During chemical reactions, any changes taking place within these molecules will be strongly driven by quantum processes, which are still poorly understood. By developing plugins to existing quantum software, the team hopes to accurately recreate this quantum chemistry in simulated reactions.

If they are successful in reaching these goals, the results of their work could open up many new avenues of research within a diverse array of fields especially where the effects of quantum mechanics have not yet been widely considered. In particular, they will also contribute to identifying bottlenecks of current quantum processing units, which will aid the design of better quantum computers.

Perhaps most generally, the Q4Q team hopes that their techniques will enable researchers to better understand how matter responds to external perturbations, such as lasers and other light sources.

Elsewhere, widely accessible quantum software could become immensely useful in the design of new pharmaceutical drugs, as well as new fertilizers. By ascertaining how reactions between organic and biological molecules unfold within simulations, researchers could engineer molecular structures that are specifically tailored to treating certain medical conditions.

The ability to simulate these reactions could also lead to new advances in the field of biology as a whole, where processes involving large, deeply complex molecules including proteins and nucleic acids are critical to the function of every living organism.

Finally, a better knowledge of the vibrational and electronic properties of periodic solids could transform the field of materials physics. By precisely engineering structures to display certain physical properties on macroscopic scales, researchers could tailor new materials with a vast array of desirable characteristics: including durability, advanced interaction with light, and environmental sustainability.

If the impacts of the teams proposed research goals are as transformative as they hope, researchers in many different fields of the technological endeavor could soon be working with quantum technologies.

Such a clear shift away from traditional research practices could in turn create many new jobs with required skillsets including the use of cutting-edge quantum software and algorithms. Therefore, a key element of the teams activity is to develop new strategies for training future generations of researchers. Members of the Q4Q team believe that this will present some of the clearest routes yet towards the widespread application of quantum computing in our everyday lives.

This article was authored by the Q4Q team, consisting of lead investigator Rosa Di Felice, Anna Krylov, Marco Fornari, Marco Buongiorno Nardelli, Itay Hen and Amir Kalev, in Scientia. Learn more about the team, and find the original article here.

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The future of scientific research is quantum - TNW

This Week’s Awesome Tech Stories From Around the Web (Through December 4) – Singularity Hub

ARTIFICIAL INTELLIGENCE

AI Training Is Outpacing Moores LawSamuel K. Moore | IEEE SpectrumThe increase in transistor density would account for a little more than doubling of performance between the early version of the MLPerf benchmarks and those from June 2021. But improvements to software as well as processor and computer architecture produced a 6.8-11-fold speedup for the best benchmark results.

Tiny Salt-Grain-Sized Camera Snaps Hi-Res Full-Color ImagesMichael Irving | New AtlasResearchers at Princeton and the the University of Washington have developed a tiny camera, the size of a grain of salt, which can snap sharp, full-color images. Its made with ametasurface that captures light, which could be scaled up to turn entire surfaces into sensors. The resulting images are far more crisp than other small sensors.

Grasping Robotic Drone Can Land on a Branch Like a Freakin BirdGeorge Dvorsky | GizmodoSNAGs feet and legs were modeled after those of peregrine falcons, but instead of wings, this robot achieves flight with a quadcopter drone. Made from lightweight materials, it can carry 10 times its own weight. The bots bones are made from 3D-printed plastic, while its muscles and tendons are built from motors and fishing line.

Microsoft Makes Breakthrough in Quest to Use DNA as Data StoragePhillip Tracy | GizmodoThe company announced in a new research paper the first nanoscale DNA storage writer, which the research group expects to scale for a DNA write density of 25 x 10^6 sequences per square centimeter, or three orders of magnitude (1,000x) more tightly than before. What makes this particularly significant is that its the first indication of achieving the minimum write speeds required for DNA storage.

Renewables Are Set to SoarJames Temple | MIT Technology ReviewNew renewable electricity capacity will set another record this year, at 290 gigawatts, according to a new report from the International Energy Agency. By 2026, global capacity from these carbon-free sources will rise more than 60% over last years levels, the intergovernmental research organization now projects. In addition, renewables will account for 95% of the overall capacity growth in the power sector over that period.

Quantum Simulators Create a Totally New Phase of MatterCharlie Wood | QuantaToday the Cambridge group unveiled their most significant discovery yet:the detection of an elusive state of matter known as a quantum spin liquid, which exists outside the century-old paradigm outlining the ways in which matter can organize. It confirms a nearly 50-year-old theory predicting the exotic state. It also marks a step toward the dream of building a truly useful universal quantum computer.

How Much Has Quantum Computing Actually Advanced?Dan Garisto | IEEE SpectrumLately, it seems as though the path to quantum computing has more milestones than there are miles. For a measured perspective on how much quantum computing is actually advancing as a field, we spoke withJohn Martinis, a professor of physics at the University of California, Santa Barbara, and the former chief architect ofGoogles Sycamore.

The Movement to Hold AI Accountable Gains More SteamKhari Johnson | WiredNew Yorks City Council last month adopted a law requiring audits of algorithms used by employers in hiring or promotion. The law, the first of its kind in the nation, requires employers to bring in outsiders to assess whether an algorithm exhibits bias based on sex, race, or ethnicity. Employers also must tell job applicants who live in New York when artificial intelligence plays a role in deciding who gets hired or promoted.

Image Credit: Pierre Chtel-Innocenti / Unsplash

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This Week's Awesome Tech Stories From Around the Web (Through December 4) - Singularity Hub