Stray Qubits: SandboxAQ buys Cryptosense, Aliro Hires CMO, UWisconsin Advances Error Correction

By John Russell

September 14, 2022

Well-heeled Google spinout SandboxAQ announced its first acquisition today – snapping up cybersecurity software specialist Cryptosense – while quantum networking startup Aliro Quantum added a CMO to ramp up commercial activities. Elsewhere, a collaboration between the University of Wisconsin (Madison) and two National Science Foundation Quantum Leap Challenge Institutes issued a paper detailing error correction progress for neutral cold atom based qubits.

The acquisition was not unexpected. In August, SandboxAQ announced its Strategic Investment Program citing an investment in a Canadian cybersecurity company, evolutionQ. “[O]ur first investment: evolutionQ, a Canadian quantum cybersecurity company specializing in Quantum Key Distribution. QKD will play a key role in creating a secure, quantum-safe digital infrastructure, and complements our own efforts in the post-quantum cryptography (PQC) space. We were happy to participate in its recent $5.5 million Series A round of funding.”

The purchase of Paris-based Cryptosense had been in the works as SandboxAQ looks for investment opportunities. SandboxAQ reported, “The acquisition of Cryptosense complements and accelerates the deployment of SandboxAQ’s Post-Quantum Cryptography (PQC) solutions to corporations and government institutions worldwide. SandboxAQ’s cybersecurity products enable large enterprises to scale cryptography management across their IT infrastructure, providing CISOs with a single, 360° view of how encryption is used throughout the enterprise – a critical first step in migrating to PQC.”

Cryptosense bills itself as a “cryptography lifecycle management” company products “allow an organization to control the way that cryptography is used to protect sensitive data throughout their applications and infrastructure. It enables accurate risk assessment for threats, simplifies compliance and allows enterprise-wide enforcement of cryptography policy.”

Aliro Expands Commercialization Team

Founded in 2019 by Harvard professor Prineha Narang, Aliro Quantum describes itself as “designing software used to design, architect, simulate, and build quantum networks.” Many believe quantum networking will have many uses, not least enabling technology the scaling up of quantum computers by connecting QPUs and quantum sub-systems to achieve be a critical size.

The appointment of Michael Wood as its first chief marketing officer is part of the Aliro’s efforts to ramp up commercial activities. Aliro reported that, “Over the past 12 months, the company has continued to expand engagements with systems integrators, telecom providers, major government agencies, and academic and industry partners to design, architect, simulate, and build quantum networks. Wood will lead Aliro’s global marketing initiatives and will be responsible for messaging, positioning, growth marketing, demand generation, analyst, and media relations.”

Michael Wood, Aliro Quantum, CMO

Here’s Woods’ bio from the press release: “Wood joins Aliro from Versa Networks where he built and led the marketing organization. He has also held senior leadership positions at VMware, VeloCloud Networks, Akamai and Cisco. Wood joins recent appointee, Michael Gaffney, Aliro’s head of public sector, on the company’s senior management team. Gaffney recently opened Aliro’s Washington D.C. presence to support the company’s expanding government and public sector initiatives following a career in Army intelligence and years implementing cloud and security solutions for the government.”

Aliro CEO and Chairman Jim Ricotta, said, “Aliro is on a mission to build the quantum internet, and we have had remarkable success developing the foundational technologies needed for quantum networks, working with a number of organizations to simulate and build their next generation of networks. Michael Wood has had repeated success creating and growing new businesses and markets, and his expertise will help us continue to build momentum.”

More Momentum for Neutral Atom Qubits

Error mitigation and correction remain huge challenges in quantum computing. One of the variables in tackling this problem is the many different kinds of qubit technologies under development (superconducting, trapped ion, neutral atoms, photonics, etc.). Recent work by the University of Wisconsin and NSF suggests use of neutral atom-based qubits may permit a novel approach to effective error mitigation.

There’s a good account of the work posted on UW Madison website, “In a theory paper published in Nature Communications, UW–Madison physicist Shimon Kolkowitz and colleagues show a new way that quantum errors could be identified in one type of qubit known as neutral atoms. By pinpointing which qubit experienced an error, the study suggests that the requirements on quantum error correction can be significantly relaxed, approaching a level that neutral atom quantum computers have already achieved.”

The work is actually a collaboration between UW-Madison and two National Science Foundation Quantum Leap Challenge Institutes, Hybrid Quantum Architectures and Networks (HQAN) and Robust Quantum Simulation (RQS). Kolkowitz is quoted in the article, “In quantum computing, a lot of the overhead in an error-correcting code is figuring out which qubit had the error. If I know which qubit it is, then the amount of redundancy needed for the code is reduced. Neutral atom qubits are right on the edge of what you would call this fault-tolerant threshold, but no one has been able to fully realize it yet.”

As always, these studies are best read directly. These excerpts from the paper’s abstract do a good job summarizing:

  • “First, we present a physical model of qubits encoded in a particular atomic species, 171Yb, that enables erasure conversion without additional gates or ancilla qubits. By encoding qubits in the hyperfine states of a metastable electronic level, the vast majority of errors (i.e., decays from the Rydberg state that is used to implement two-qubit gates) result in transitions out of the computational subspace into levels whose population can be continuously monitored using cycling transitions that do not disturb the qubit levels…As a result, the location of these errors is revealed, converting them into erasures. We estimate a fraction Re = 0.98 of all errors can be detected this way.
  • “Second, we quantify the benefit of erasure conversion at the circuit level, using simulations of the surface code. We find that the predicted level of erasure conversion results in a significantly higher threshold, pth = 4.15%, compared to the case of pure depolarizing errors (pth = 0.937%). Finally, we find a faster reduction in the logical error rate immediately below the threshold.” (Figure from paper below)

In their conclusion, the authors say their approach is “promising for demonstrating fault-tolerant logical operations with near-term experimental hardware.” They also anticipate that the proposed erasure conversion technique “will also be applicable to other codes and other physical qubit platforms.”

Link to Aliro announcement: https://www.hpcwire.com/off-the-wire/aliro-quantum-names-michael-wood-as-cmo/

Link to UM-Wisconsin article: https://www.physics.wisc.edu/2022/09/12/nsf-quantum-center-collaboration-finds-path-to-fault-tolerance-in-neutral-atom-qubits/

Link to UM-Wisconsin article paper: https://www.nature.com/articles/s41467-022-32094-6

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire