Today’s Brief Commentary:
If you haven’t seen it, my commentary about quantum computing vendors and the trust they must nurture among the public, customers, and users is available on Substack.
This is looking to be a busy week for quantum computing, and it is only Wednesday morning as I write this. IonQ announces earnings after the US markets close today, and I’ll have more to say about that tomorrow.
The money keeps rolling into the industry, as Quantum Machines announced its Series C round of US$170M. Combined with QuEra’s US$230M, I have to ask: Is there any money left for the little guys? The QM raise is significant because it is for a company that builds the hardware control stack for quantum computers, not the computers themselves. This is good news for similar companies and those that create the adjacent tech for manufacturing bigger systems, such as quantum networking.
Company Profile
Year Founded
2018
Headquarters
HaMasger 35, Tel Aviv, 6721407, Israel
Company Description
Generated by Perplexity on February 26, 2025
Quantum Machines is a leading provider of advanced quantum control solutions, developing innovative software, hardware, and electronics for quantum computers. The company’s Quantum Orchestration Platform integrates quantum and classical operations, enabling seamless execution of complex quantum algorithms and real-time processing. Quantum Machines’ technology supports various types of quantum processors, including superconducting qubits, ion traps, and solid-state spin qubits. Their hybrid control approach allows for precise manipulation of quantum systems, data processing, and orchestration of algorithms across quantum and classical processors. The company’s solutions are designed to scale quantum systems, with their platform supporting the development of quantum computers with thousands of qubits.
Senior Leadership
- Itamar Sivan, Chief Executive Officer and Co-Founder
- Yonatan Cohen, Chief Technology Officer and Co-Founder
- Nissim Ofek, Chief Engineer and Co-Founder
- Hila Manoach, Chief People Officer
- Jonatan Kutchinsky, General Manager, Quantum Electronics
- Todd Sierer, Vice President of Global Sales
- Omri Shoshan, Chief Business Officer
- Yoel Knoll, Vice President of Marketing
- Nir Ackerman, Chief Financial Officer
- Shaul Galila, Chief of Operations
Don’t forget to check out and bookmark my new sortable list of upcoming quantum technology conferences.
Contents
- Conference and Event Talks
- Earnings Announcements and Financial Dealings
- Quantum and AI and Quantum
- Quantum Computing
- Related Articles and Papers
Conference and Event Talks
Are We Accelerating Toward Practical Quantum Advantage or Are We Languishing with Toy Computers for Toy Problems?
https://youtu.be/v7LrtizjIJ4?si=rg0zvc3q9KSzqlXW
Author: Bob Sutor
Date: Thursday, December 12, 2024
Excerpt: This is the talk I presented in December 2024 at the Q2B Silicon Valley conference in Santa Clara, California.
Earnings Announcements and Financial Dealings
Quantum Machines Raises $170M as Its Customer Base Exceeds 50% of Companies Developing Quantum Computers
Date: Tuesday, February 25, 2025
Excerpt: Quantum Machines (QM), a leading provider of advanced quantum control solutions, today announced it has raised $170 million in Series C funding, bringing the company’s total funding to date to $280 million. The investment comes as the majority of quantum computing companies now rely on QM’s technology to build and scale their systems. The highly oversubscribed round was led by PSG Equity with participation from Intel Capital, Red Dot Capital Partners, and existing investors, and marks one of the largest rounds of funding in the quantum industry.
Quantum and AI and Quantum
Will Quantum Computing Ever Be Useful for AI? – Report Summary
https://futurumgroup.com/press-release/will-quantum-computing-ever-be-useful-for-ai-report-summary/
Author: Dr. Bob Sutor
Date: Tuesday, February 25, 2025
Excerpt: Given the potential value of quantum computing and AI technologies, it is reasonable to ask if one of them can benefit from the other. Recent remarks from industry CEOs such as Jensen Huang of NVIDIA show that no one knows when quantum computing will be “useful.” Being useful seems like a fairly minimal requirement, but it is likely five or more years away. This includes “useful for AI.” Therefore, understand that quantum computing for AI is a long-term research program, not an immediate commercial offering.
Quantum Computing
Proposal for a Quantum Capabilities Label for Quantum Computers, Algorithms, and Applications
Author: Jack Krupansky
Date: Sunday, May 22, 2022
Commentary: Although this is almost three years old, it is still a good ontology of all the characteristics of quantum computers. I suggest educators take a look so they can show their students the breadth of quantum computing details and metrics.
Excerpt: Sifting through all of the hype of press releases and puffy articles about quantum computing, it’s very difficult to discern the capabilities of a particular quantum computer, or what quantum computing capabilities are needed for a particular quantum algorithm or application. This informal paper proposes a very simplified label to provide this information. This will make it possible to tell at a quick glance what algorithms or applications a given quantum computer can run, or what capabilities a quantum computer needs to run a given quantum algorithm or application.
Quantum computing requires high-performance software | Science
https://www.science.org/doi/10.1126/science.adt0019
Author: Jerry Chow
Date: Thursday, February 20, 2025
Commentary: This is a continuation of IBM‘s 2024 story line about the performance benefits of using the Qiskit quantum software development kit.
Excerpt: These methods necessitate high-performance quantum software. Utility-scale quantum algorithms do not use just one quantum circuit—they typically require running a quantum circuit many times to sufficiently sample from a distribution of possible solutions. Furthermore, most programs incorporating quantum computation require a combination of both quantum and classical processing. Therefore, partitioning problems between quantum and classical processing hardware requires frequent data exchange. This strategy breaks down if the software is too slow. Therefore, software cannot simply be powerful enough to run quantum workloads efficiently on quantum computers. It must also be designed so that it can perform quickly and efficiently when quantum and classical processing are working together.
SQC achieves world-leading accuracy of Grover’s algorithm | Silicon Quantum Computing
https://sqc.com.au/2025/02/20/sqc-achieves-world-leading-accuracy-of-grovers-algorithm/
Author: Katherine Hargraves
Date: Thursday, February 20, 2025
Commentary: Okay, before you get too excited about this one, note that it uses 4 qubits, which is tiny. Although Grover’s algorithm is taught in almost every quantum computing book, this so-called “database search” would never be used with classical data because of the time it would take to load the information. It’s best to think of it as a search subroutine for data already encoded in quantum states. That said, the low-error rates are impressive and are really about the qubits and not the algorithm.
Excerpt: Silicon Quantum Computing (SQC), a pioneer in quantum computing and atomic manufacturing, today announced that it has demonstrated world-leading accuracy in the operation of Grover’s algorithm without error correction, i.e. in its native pure form. This proves the strategic advantage of SQC’s high-quality qubits and atomic precision manufacturing and brings the transformative prospect of reliable commercial-scale quantum computing one step closer.
Related Articles and Papers
Ettore Majorana | Wikipedia
https://en.wikipedia.org/wiki/Ettore_Majorana
Excerpt: Ettore Majorana, born 5 August 1906 and disappeared 1938) was an Italian theoretical physicist who worked on neutrino masses. On 25 March 1938, he disappeared under mysterious circumstances after purchasing a ticket to travel by ship from Naples to Palermo.
Sutor Group Intelligence and Advisory
Dr. Bob Sutor is the CEO and Founder of Sutor Group Intelligence and
Advisory. Sutor Group provides broad market insights and deep technical expertise based on over four
decades of experience with startups and large corporations. It advises Deep Tech startups, companies, and
investors on quantum technologies, AI, enterprise software, and other emerging tech fields.
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Disclosures and Disclaimers
Bob Sutor is a former employee of IBM and Infleqtion and holds equity positions or stock options in each company. He is a Non-Executive Director for Nu Quantum and Advisor to the venture capital firm Forma Prime.
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Previous Newsletter Edition
Quantum – Tuesday, February 25, 2025: Comments on Announcements and Trust
