singularityhub.com Open in urlscan Pro
2620:12a:8000::3  Public Scan

Form analysis
5 forms found in the DOM

POST #

<form class="td-login-form-wrap" action="#" method="post">
  <div class="td-login-panel-title"><span>Welcome!</span>Log into your account</div>
  <div class="td_display_err"></div>
  <div class="td-login-inputs"><input class="td-login-input" autocomplete="username" type="text" name="login_email" id="login_email-mob" value="" required=""><label for="login_email-mob">your username</label></div>
  <div class="td-login-inputs"><input class="td-login-input" autocomplete="current-password" type="password" name="login_pass" id="login_pass-mob" value="" required=""><label for="login_pass-mob">your password</label></div>
  <input type="button" name="login_button" id="login_button-mob" class="td-login-button" value="LOG IN">
  <div class="td-login-info-text">
    <a href="#" id="forgot-pass-link-mob">Forgot your password?</a>
  </div>
  <div class="td-login-register-link">
  </div>
</form>

---

GET https://singularityhub.com/

<form method="get" class="td-search-form" action="https://singularityhub.com/">
  <!-- close button -->
  <div class="td-search-close">
    <span><i class="td-icon-close-mobile"></i></span>
  </div>
  <div role="search" class="td-search-input">
    <span>Search</span>
    <input id="td-header-search-mob" type="text" value="" name="s" autocomplete="off">
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</form>

---

GET https://singularityhub.com/

<form method="get" class="tdb-search-form" action="https://singularityhub.com/">
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    <div class="tdb-head-search-placeholder">search</div><button class="wpb_button wpb_btn-inverse btn tdb-head-search-form-btn" title="Search" type="submit"><span>Search</span></button>
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</form>

---

GET https://singularityhub.com/

<form method="get" class="tdb-search-form" action="https://singularityhub.com/">
  <div class="tdb-search-form-inner"><input class="tdb-head-search-form-input" placeholder=" " type="text" value="" name="s" autocomplete="off">
    <div class="tdb-head-search-placeholder">search</div><button class="wpb_button wpb_btn-inverse btn tdb-head-search-form-btn" title="Search" type="submit"><span>Search</span></button>
  </div>
</form>

---

GET https://singularityhub.com/

<form method="get" class="tdb-search-form" action="https://singularityhub.com/">
  <div class="tdb-search-form-inner"><input class="tdb-head-search-form-input" placeholder=" " type="text" value="" name="s" autocomplete="off">
    <div class="tdb-head-search-placeholder">search</div><button class="wpb_button wpb_btn-inverse btn tdb-head-search-form-btn" title="Search" type="submit"><span>Search</span></button>
  </div>
</form>

---

Text Content

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humans and bots. PersistentHTMLgeoDatawww.hbo.comDetermines whether the user is
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load-balancing, deliverance of website content and serving DNS connection for
website operators. SessionHTTP1.gifCookiebotUsed to count the number of sessions
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SessionPixelPHPSESSIDLiveleakPreserves user session state across page
requests.SessionHTTPcf_clearance [x2]Kickstarter
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online transactions without storing any credit card information.1
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online transactions without storing any credit card information.1
dayHTTPRTs.go-mpulse.netThis cookie is used to identify the visitor through an
application. This allows the visitor to login to a website through their
LinkedIn application for example.7 daysHTTPusprivacycdn.cookielaw.orgDetects
whether the user has checked the Do Not Sell My Personal Information-button on
the website. This feature is a part of the CCPA. 1 yearHTTP

Preference cookies enable a website to remember information that changes the way
the website behaves or looks, like your preferred language or the region that
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cookie is used to determine the preferred country setting selected by the
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the user's preferences when playing embedded videos from Vimeo.1
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Statistic cookies help website owners to understand how visitors interact with
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determine if the visitor has any adblocker software in their browser – this
information can be used to make website content inaccessible to visitors if the
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behaviour on the website. Used for internal analytics by the website operator.
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recent visit. 2 yearsHTTPmnet_session_depthMedia.netContains the scroll-depth
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QUANTUM COMPUTERS TAKE A MAJOR STEP WITH ERROR CORRECTION BREAKTHROUGH



By Edd Gent
April 4, 2024

For quantum computers to go from research curiosities to practically useful
devices, researchers need to get their errors under control. New research from
Microsoft and Quantinuum has now taken a major step in that direction.

Today’s quantum computers are stuck firmly in the “noisy intermediate-scale
quantum” (NISQ) era. While companies have had some success stringing large
numbers of qubits together, they are highly susceptible to noise which can
quickly degrade their quantum states. This makes it impossible to carry out
computations with enough steps to be practically useful.

While some have claimed that these noisy devices could still be put to practical
use, the consensus is that quantum error correction schemes will be vital for
the full potential of the technology to be realized. But error correction is
difficult in quantum computers because reading the quantum state of a qubit
causes it to collapse.

Researchers have devised ways to get around this using error correction codes
that spread each bit of quantum information across multiple physical qubits to
create what is known as a logical qubit. This provides redundancy and makes it
possible to detect and correct errors in the physical qubits without impacting
the information in the logical qubit.

The challenge is that, until recently, it was assumed it could take roughly
1,000 physical qubits to create each logical qubit. Today’s largest quantum
processors only have around that many qubits, suggesting that creating enough
logical qubits for meaningful computations was still a distant goal.

That changed last year when researchers from Harvard and startup QuEra showed
they could generate 48 logical qubits from just 280 physical ones. And now the
collaboration between Microsoft and Quantinuum has gone a step further by
showing that they can not only create logical qubits but can actually use them
to suppress error rates by a factor of 800 and carry out more than 14,000
experimental routines without a single error.

“What we did here gives me goosebumps,” Microsoft’s Krysta Svore told New
Scientist. “We have shown that error correction is repeatable, it is working,
and it is reliable.”

The researchers were working with Quantinuum’s H2 quantum processor, which
relies on trapped-ion technology and is relatively small at just 32 qubits. But
by applying error correction codes developed by Microsoft, they were able to
generate four logical qubits that only experienced an error every 100,000 runs.

One of the biggest achievements, the Microsoft team notes in a blog post, was
the fact that they were able to diagnose and correct errors without destroying
the logical qubits. This is thanks to an approach known as “active syndrome
extraction” which is able to read information about the nature of the noise
impacting qubits, rather than their state, Svore told IEEE Spectrum.

However, the error correction scheme had a shelf life. When the researchers
carried out multiple operations on a logical qubit, followed by error
correction, they found that by the second round the error rates were only half
of those found in the physical qubits and by the third round there was no
statistically significant impact.

And impressive as the results are, the Microsoft team points out in their blog
post that creating truly powerful quantum computers will require logical qubits
that make errors only once every 100 million operations.

Regardless, the result marks a massive jump in capabilities for error
correction, which Quantinuum claimed in a press release represents the beginning
of a new era in quantum computing. While that might be jumping the gun slightly,
it certainly suggests that people’s timelines for when we will achieve
fault-tolerant quantum computing may need to be updated.

Image Credit: Quantinuum H2 quantum computer / Quantinuum

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Edd Genthttp://www.eddgent.com/
I am a freelance science and technology writer based in Bangalore, India. My
main areas of interest are engineering, computing and biology, with a particular
focus on the intersections between the three.

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