Quantum News Briefs October 26: Multiverse Computing and Mila partner to advance AI with quantum computing; Proactive risk mitigation strategies will likely be required to capture promise of quantum technologies; Electrons that flow like liquids pave the way for robust quantum computers + MORE
Quantum News Briefs October 26 opens with announcement that Multiverse Computing and Mila are partnering to advance AI with quantum computing; followed by a survey that indicates Proactive risk mitigation strategies will likely be required to capture promise of quantum technologies; and third from Singapore’s Nanyang University researchers who find “Electrons that flow like liquids pave the way for robust quantum computers + MORE
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Multiverse Computing and Mila partner to advance AI with quantum computing
Multiverse Computing, a global leader in delivering value-based quantum computing solutions, and Mila, the world’s largest academic research center in deep learning, are launching a new partnership that will use quantum and quantum-inspired methods to advance AI and machine learning (ML).
The partnership will also focus on developing new leaders in the high-tech fields of quantum computing and ML. Founded by Professor Yoshua Bengio of the University of Montreal, Mila is an artificial intelligence research institute that brings together over 1,000 researchers specializing in machine learning. Based in Montreal, Mila’s mission is to be a global hub for scientific advances that inspire innovation and development of AI for the benefit of all.
The collaboration will cover several sectors with a focus on the biotech and pharmaceutical industry initially. The partnership will bring quantum ML and quantum-inspired ML to Mila researchers and students, said Enrique Lizaso Olmos, CEO of Multiverse Computing.
Quantum experts at Multiverse Computing will work with researchers at Mila to advance augmented ML. Multiverse Computing uses tensor networks to support this work and Mila has multiple researchers with expertise in this area. These networks use models based on quantum physics and can increase the speed and precision of training ML models.
Mila has an extensive network of corporate partners across multiple verticals including bio and pharma, agritech and industry 4.0. This partnership will allow Multiverse to interact closely with Mila’s community and its many researchers and students.
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Proactive risk mitigation strategies will likely be required to capture promise of quantum technologies
Just over half (50.2%) of surveyed professionals at organizations considering the benefits of quantum computing believe that their organizations are at risk for “harvest now, decrypt later” (HNDL) cybersecurity attacks, according to a poll of more than 400 respondents taken during a Deloitte survey, according to an October 25 Wall Street Journal article authored by Deloitte and summarized here by Quantum News Briefs.
“As quantum awareness grows within boardrooms, C-suites, and security teams, the hope is that organizations’ efforts to prepare for post-quantum cyber risk management will grow as well,” mplications the emerging technology presents,” says Colin Soutar, the U.S. quantum cyber readiness leader and Deloitte Risk & Financial Advisory managing director for Deloitte & Touche LLP..
Respondents indicate that their organization’s risk management efforts related to quantum computing security will most likely advance following regulatory pressure to adopt legislation or policies (27.7%) or leadership demand (20.7%) to enable the cryptographic agility that can address the algorithms made obsolete by quantum computing. Other respondents’ organizations seem to be taking a wait-and-see approach. Some say it would take a cyber incident, such as exfiltration of sensitive data involving their organization, to drive quantum security risk management efforts (11.7%). Others say client or shareholder demand would drive the same action (6.8%).
Click here to read original article with additional survey results.
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Electrons that flow like liquids pave the way for robust quantum computers
a discovery by scientists led by Nanyang Technological University, Singapore (NTU Singapore), on how electrons can be controlled at very low temperatures, suggests a way for addressing quantum computers’ data storage and processing errors caused by disturbances from the environment like vibrations and radiation from warm objects. Quantum News Briefs summarizes from Phys.org.
The team’s findings, which were published online in the Nature Communications journal in October 2022, showed, for the first time, that electrons can have strong interactions between them under certain conditions.
These interactions, previously only predicted in theoretical models, were observed on the edges of a type of atomically thin and electrically insulating material at ultra-low temperatures close to the coldness of outer space.
Headed by Assistant Professor Bent Weber from NTU Singapore’s School of Physical and Mathematical Sciences (SPMS), the research team confirmed that interactions at these low temperatures cause the electrons to flow like a liquid. This means that the electrons tend to move collectively along a line instead of moving individually or haphazardly in different directions.
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US Army Validation report confirms Entanglement AI cybersecurity solution on Groq Tech using quantum & classical algorithms
The United States Army has released a Validation Report confirming that Entanglement AI’s cybersecurity solution on Groq technology – specifically a GroqNode – and simultaneously using quantum and classical algorithms for anomaly detection, is running the world’s fastest Quadratic Unconstrained Binary Optimization (QUBO) Solver, noted in the report as “dramatically faster and more accurate… – with far fewer false positives – than any known technology.”
The research was performed under a CRADA, or Commercial Research and Development Agreement, between the Army Analytics Group (AAG) and Entanglement, a Groq customer. Entanglement leveraged Groq hardware to solve cybersecurity anomaly detection three orders of magnitude faster than traditional methods.
Entanglement’s Groq-based approach achieved an anomaly detection rate of 72,000,000 inferences per second and demonstrated the potential to achieve 120,000,000 inferences per second across the key workloads.
Jonathan Ross, CEO and founder of Groq, added: “Entanglement uses quantum-based algorithms, but there isn’t a quantum computer anywhere today that can execute those algorithms as fast as GroqChip. The result was cybersecurity anomaly detection at 120 million inferences per second, three orders of magnitude faster than with any other technology and something they could only achieve on Groq hardware.”
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Sandra K. Helsel, Ph.D. has been researching and reporting on frontier technologies since 1990. She has her Ph.D. from the University of Arizona.
