Enterprise

Microsoft and Quantinuum say they’ve ushered in the next era of quantum computing

Comment

Image Credits: Microsoft

Microsoft and Quantinuum today announced a major breakthrough in quantum error correction. Using Quantinuum’s ion-trap hardware and Microsoft’s new qubit-virtualization system, the team was able to run more than 14,000 experiments without a single error. This new system also allowed the team to check the logical qubits and correct any errors it encountered without destroying the logical qubits.

This, the two companies say, has now moved the state-of-the-art of quantum computing out of what has typically been dubbed the era of noisy intermediate scale quantum (NISQ) computers. “Noisy” because even the smallest changes in the environment can lead a quantum system to essentially become random (or “decohere”), and “intermediate scale” because the current generation of quantum computers is still limited to just over a thousand qubits at best. A qubit is the fundamental unit of computing in quantum systems, analogous to a bit in a classic computer, but each qubit can be in multiple states at the same time and doesn’t fall into a specific position until measured, which underlies the potential of quantum to deliver a huge leap in computing power.

It doesn’t matter how many qubits you have, though, if you barely have time to run a basic algorithm before the system becomes too noisy to get a useful result — or any result at all.

Combining several different techniques, the team was able to run thousands of experiments with virtually no errors. That involved quite a bit of preparation and pre-selecting systems that already looked to be in good shape for a successful run, but still, that’s a massive improvement from where the industry was just a short while ago.

It’s a step in the right direction for quantum computing. There are still plenty of problems to be solved (and these results need to be replicated, too, of course), but theoretically, a computer with 100 of these logical qubits could already be useful for solving some problems, while a machine with 1,000 qubits could, Microsoft says, “unlock commercial advantage.”

The discrepancies (errors) between entangled qubits. Discrepancies are revealed bycomparing the images from each qubit in a pair, and any differences that exist appear as dots in the central image between each pair
The discrepancies (errors) between entangled qubits. Discrepancies are revealed by comparing the images from each qubit in a pair, and any differences that exist appear as dots in the central image between each pair. Image Credits: Microsoft

The team used Quantinuum’s H2 trapped-ion processor and was able to combine 30 physical qubits into four highly reliable logical qubits. Encoding multiple physical qubits into a single logical qubit helps protect the system from errors. The physical qubits are entangled together so that it becomes possible to detect an error in a physical qubit and fix it.

It’s this error correction that has long vexed the industry: The lower the noise and the higher the quality of the physical qubits, the better, of course, but without sophisticated error correction, there is no way out of the NISQ era because these systems will all decohere sooner rather than later.

“Merely increasing the number of physical qubits with a high error rate — without improving that error rate — is futile because doing so would result in a large quantum computer that is not any more powerful than before,” Dennis Tom, the general manager for Azure Quantum, and Krysta Svore, the VP of Advanced Quantum Development at Microsoft, wrote in today’s announcement. “In contrast, when physical qubits with sufficient quality of operation are used with a specialized orchestration-and-diagnostics system to enable virtual qubits, only then does increasing the number of physical qubits result in powerful, fault-tolerant quantum computers able to perform longer, more complex computation.”

It was only a couple of years ago that logical qubits started outperforming physical qubits. Now, Microsoft and Quantinuum argue that their new hardware/software system demonstrates the largest gap between physical and logical error rates, improving on using only physical qubits by up to 800x.

Image Credits: Microsoft

The researchers note that to move beyond NISQ, a large separation between logical and physical qubit error rates is necessary, as is the ability to correct individual circuit errors and to generate entanglement between at least two logical qubits. If these results hold up, then the team achieved all three and we have indeed entered a stable era the era of resilient quantum computing.

As it turns out, the most important result here may actually be the team’s ability to perform “active syndrome extraction” — that is, the ability to diagnose an error and correct it, without destroying the logical qubit in the process.

“This achievement marks the first step in being able to correct errors while not destroying the logical qubits and showcases a fundamental milestone in quantum error correction,”  Tom and Svore explain. “We demonstrated this critical component of reliable quantum computing with our qubit-virtualization system, which resulted in a low logical error rate over multiple rounds of syndrome extraction.”

It’ll now be up to the rest of the quantum community to replicate these results and implement similar error correction systems. That’s likely just a matter of time, though.

“Today’s results mark a historic achievement and are a wonderful reflection of how this collaboration continues to push the boundaries for the quantum ecosystem,” said Ilyas Khan, founder and chief product officer of Quantinuum. “With Microsoft’s state-of-the-art error correction aligned with the world’s most powerful quantum computer and a fully integrated approach, we are so excited for the next evolution in quantum applications and can’t wait to see how our customers and partners will benefit from our solutions especially as we move towards quantum processors at scale.”

For more details, you can find the technical paper here.

More TechCrunch

Charging has long been the Achilles’ heel of electric vehicles. One startup thinks it has a better way for apartment dwelling EV drivers to charge overnight.

Orange Charger thinks a $750 outlet will solve EV charging for apartment dwellers

So did investors laugh them out of the room when they explained how they wanted to replace Quickbooks? Kind of.

Embedded accounting startup Layer secures $2.3M toward goal of replacing Quickbooks

While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI. The challenges are many. But…

Weka raises $140M as the AI boom bolsters data platforms

PayHOA, a previously bootstrapped Kentucky-based startup that offers software for self-managed homeowner associations (HOAs), is an example of how real-world problems can translate into opportunity. It just raised a $27.5…

Meet PayHOA, a profitable and once-bootstrapped SaaS startup that just landed a $27.5M Series A

Restaurant365, which offers a restaurant management suite, has raised a hot $175M from ICONIQ Growth, KKR and L Catterton.

Restaurant365 orders in $175M at $1B+ valuation to supersize its food service software stack 

Venture firm Shilling has launched a €50M fund to support growth-stage startups in its own portfolio and to invest in startups everywhere else. 

Portuguese VC firm Shilling launches €50M opportunity fund to back growth-stage startups

Chang She, previously the VP of engineering at Tubi and a Cloudera veteran, has years of experience building data tooling and infrastructure. But when She began working in the AI…

LanceDB, which counts Midjourney as a customer, is building databases for multimodal AI

Trawa simplifies energy purchasing and management for SMEs by leveraging an AI-powered platform and downstream data from customers. 

Berlin-based trawa raises €10M to use AI to make buying renewable energy easier for SMEs

Lydia is splitting itself into two apps — Lydia for P2P payments and Sumeria for those looking for a mobile-first bank account.

Lydia, the French payments app with 8 million users, launches mobile banking app Sumeria

Cargo ships docking at a commercial port incur costs called “disbursements” and “port call expenses.” This might be port dues, towage, and pilotage fees. It’s a complex patchwork and all…

Shipping logistics startup Harbor Lab raises $16M Series A led by Atomico

AWS has confirmed its European “sovereign cloud” will go live by the end of 2025, enabling greater data residency for the region.

AWS confirms will launch European ‘sovereign cloud’ in Germany by 2025, plans €7.8B investment over 15 years

Go Digit, an Indian insurance startup, has raised $141 million from investors including Goldman Sachs, ADIA, and Morgan Stanley as part of its IPO.

Indian insurance startup Go Digit raises $141M from anchor investors ahead of IPO

Peakbridge intends to invest in between 16 and 20 companies, investing around $10 million in each company. It has made eight investments so far.

Food VC Peakbridge has new $187M fund to transform future of food, like lab-made cocoa

For over six decades, the nonprofit has been active in the financial services sector.

Accion’s new $152.5M fund will back financial institutions serving small businesses globally

Meta’s newest social network, Threads, is starting its own fact-checking program after piggybacking on Instagram and Facebook’s network for a few months.

Threads finally starts its own fact-checking program

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals