SEEQC Announces Addition of Scientific Advisory Board

January 19, 2022

ELMSFORD, N.Y., Jan. 19, 2022 — SEEQC, the Digital Quantum Computing company, today announced the addition of a scientific advisory board to its leadership. This addition comes at a time when the company is unveiling a new brand identity and expanding its team internationally, including the appointment of Shu-Jen Han as its vice president of engineering.

Scientific Advisory Board

SEEQC’s new scientific advisory board consists of leading academics from across the world, including Javad Shabani, assistant professor of physics at NYU, professors from the University of Napoli Federico II, Francesco Tafuri and Giovanni Piero Pepe, and Maxim Vavilov, professor at the University of Wisconsin.

The company instituted this board of quantum scientists to guide SEEQC’s team as they continue their mission to solve quantum computings’ most challenging problems. The board will help ensure that SEEQC bases its products, research and development on sound scientific data.

By integrating this team of scientists into SEEQC’s product roadmap, the company can internally peer-review its research and development and receive feedback and scientific advice more quickly than other commercial entities. This ensures that the company is receiving proper oversight and quality consultation as it advances its technological discoveries — expanding quantum’s reach from academia to real-world application.

“The fact that half of my fellow board members work in foreign universities, and many of us have international backgrounds, should not be overlooked. SEEQC is an international company, and it is incorporating that element of itself at every level,” said advisory board member, Francesco Tafuri. “By bringing together this group of international scientists, SEEQC is getting access to even more experience than by engaging exclusively with American universities. These individuals bring a rich and diverse history of scientific research and experience to the company with them.”

Dr. Shu-Jen Han

Appointing New Vice President of Engineering

In addition to expanding its leadership with the advisory board, SEEQC has also appointed industry veteran Dr. Shu-Jen Han as its vice president of engineering. Han brings more than a decade of experience in the nanotechnology and semiconductor industry to SEEQC, as well as world-class expertise in logic and memory chip-making — a critical component of scaling the company’s system-on-a-chip quantum design.

Han started his career at IBM working in the semiconductor sector after receiving his Ph.D. from Stanford University, later he managed the nanoscale device and technology group at IBM’s T. J. Watson Research Center working on world-leading post-silicon transistor research. Han has valuable experience in advancing complex semiconductor chip technology from basic research to product qualification both as a director and later as senior director at HFC Semiconductor’s Advanced Memory Technology Division. He has authored over 90 technical publications, two book chapters and over 150 issued US patents.

“We’re thrilled to formally welcome Shu-Jen to SEEQC, and I am excited by the leadership and expertise he’ll bring to our global team of quantum engineers and researchers,” said John Levy, CEO of SEEQC. “Shu-Jen is one of the foremost minds in the semiconductor research and development world — we’re grateful he chose to join SEEQC and our mission to bring scalable quantum computing to the enterprise world.”

In his new role, Han will help build a scalable research and development organization, lead SEEQC’s multi-disciplinary engineering groups and establish a clear roadmap for its commercialization. He also oversees the day-to-day operations of the company’s newly renovated chip foundry, a fully operational chip manufacturing facility focusing on superconducting quantum and classic electronics.

Renewed Brand Commitment

As the company continues to evolve its technology and business model, it is also evolving its unique brand. Under the guidance of its creative director, Fredrik Carlström, SEEQC is rededicating itself to its original goal and mission statement under renewed branding and communication initiatives.

SEEQC was built upon the premise of approaching quantum differently than its predecessors and counterparts, and its new brand reflects that. The brand takes into account SEEQC’s unique team, the integrated process in which design, manufacturing and testing are all done in-house, resulting in a unique approach to building a scalable quantum computer.

The new brand reflects SEEQC at its core –– not only as a company name but as an acronym: Scalable, Energy-Efficient Quantum Computing. Other aspects of the company’s brand portfolio have been updated to evince different aspects of the company’s technology. SEEQC’s visuals evoke a feeling of efficiency, purpose and a close relationship with nature, just as its end-product uses elements of nature to solve classically intractable problems and address the world’s greatest challenges.

“The new design and communication are a mirror image of SEEQC’s approach to building scalable, re-configurable quantum computers around a family of chips designed to support a host of high-value problems for clients today,” said Carlström. “We want the brand we put forward to show what we’re really about and to show our ethos in everything we do from the design of our hardware and software to our offices, facilities, website and brand identity.”

Partnership with QuantWare

To further advance its technology, SEEQC has partnered with Dutch quantum startup QuantWare. With additional support from the University of Napoli Federico II, the companies will co-develop an advanced Quantum Processor Unit (QPU) with integrated cryogenic digital control logic. This partnership combines SEEQC’s proprietary platform with QuantWare’s scalable QPU design, resulting in the world’s first commercially available platform, capable of overcoming key scalability engineering challenges.

About SEEQC

SEEQC is developing the first fully digital quantum computing platform for global businesses. SEEQC combines classical and quantum technologies to address the efficiency, stability and cost issues endemic to quantum computing systems. The company applies classical and quantum technology through digital readout and control technology and a unique chip-scale architecture. SEEQC’s quantum system provides the energy- and cost-efficiency, speed and digital control required to make quantum computing useful and bring the first commercially-scalable, problem-specific quantum computing applications to market.

The company is one of the first companies to have built a superconductor multi-layer commercial chip foundry and through this experience has the infrastructure in place for design, testing and manufacturing of quantum-ready superconductors. SEEQC is a spin-out of HYPRES, the world’s leading developer of superconductor electronics. SEEQC’s team of executives and scientists have deep expertise and experience in commercial superconductive computing solutions and quantum computing. SEEQC is based in Elmsford, NY with facilities in London, UK and Naples, Italy.


Source: SEEQC

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!

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

Nvidia Appoints Andy Grant as EMEA Director of Supercomputing, Higher Education, and AI

March 22, 2024

Nvidia recently appointed Andy Grant as Director, Supercomputing, Higher Education, and AI for Europe, the Middle East, and Africa (EMEA). With over 25 years of high-performance computing (HPC) experience, Grant brings a Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire