Notable and Interesting Recent Quantum News, Articles, and Papers for Thursday, August 08, 2024
Robert Sutor
Quantum Computing and AI, but not necessarily together: Tech Leader/Ph.D., Non-Executive Director, Author, Advisor, Pundit, Keynote Speaker, Analyst, Professor, Cat Lover
A selection of the most important recent news, articles, and papers about quantum computing.
News, Articles, and Analyses
China's Quantum Ambitions: A Multi-Decade Focus on Quantum Communications — Yale Journal of International Affairs
(Friday, February 02, 2024) "Ciel Qi analyzes China's progress in quantum communications and its implications for U.S. national security, recommending a cautious approach to quantum technology adoption and addressing potential intelligence asymmetries."
NASA's First-Ever Quantum Memory Made at Glenn Research Center
(Wednesday, July 31, 2024) "NASA's Glenn Research Center in Cleveland is playing a major role in the development of a cutting-edge technology: NASA's first-ever quantum memory."
Quantum computing aims for diversity, one qubit at a time
(Monday, August 05, 2024) "The fast-growing discipline needs more scientists from under-represented groups. A raft of initiatives is rising to the challenge."
Terra Quantum Wins Competitive SBIR Funding to Study Feasibility of Long-Range Quantum-Resistant Network for the US Air Force
(Tuesday, August 06, 2024) "Terra Quantum announces a study to develop a quantum-resistant network for the Department of the Air Force (DAF) for ultra-secure long-range communications."
The GQI Quantum Resource Estimator Playbook - Quantum Computing Report
Author: Doug Finke
(Tuesday, August 06, 2024) "A question we often hear at GQI is "When will we start witnessing quantum advantage where users are regularly relying on quantum technology for commercial use?" The answer to that question relies on two factors. The first is how quickly will the quantum hardware improve? The second is how will quantum algorithms get smarter and more efficient? When those two meet, we will start seeing end users run quantum computing for production applications. A Plethora of QRE Approaches The good news is that we are starting to see more detailed roadmaps from the quantum providers that give us an idea of […]"
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UMD and IonQ Partner to Advance Quantum Computing in Support of National Security | Applied Research Laboratory for Intelligence and Security
(Tuesday, August 06, 2024) "The Applied Research Laboratory for Intelligence and Security (ARLIS), based at the University of Maryland, selected IonQ, a leader in quantum computing, to design and install a unique system researchers will use to advance the use of quantum computers in national security."
Riverlane raises $75 million to meet surging global demand for quantum error correction technology
"The funding will enable Riverlane to expand operations, with the goal of achieving one million error-free quantum computer operations by 2026."
DigiCert Announces Speaker Lineup and Awards for Inaugural World Quantum Readiness Day Event | DigiCert
"DigiCert, a leading provider of digital trust, today announced its speaker lineup for its World Quantum Readiness Day Event."
Technical Papers, Articles, and Preprints
[2408.02587] Assessing the Requirements for Industry Relevant Quantum Computation
Authors: Krol, Anna M.; Erdmann, Marvin; Munro, Ewan; Luckow, Andre; Al-Ars, Zaid
(Monday, August 05, 2024) "In this paper, we use open-source tools to perform quantum resource estimation to assess the requirements for industry-relevant quantum computation. Our analysis uses the problem of industrial shift scheduling in manufacturing and the Quantum Industrial Shift Scheduling algorithm. We base our figures of merit on current technology, as well as theoretical high-fidelity scenarios for superconducting qubit platforms. We find that the execution time of gate and measurement operations determines the overall computational runtime more strongly than the system error rates. Moreover, achieving a quantum speedup would not only require low system error rates ($10^{-6}$ or better), but also measurement operations with an execution time below 10ns. This rules out the possibility of near-term quantum advantage for this use case, and suggests that significant technological or algorithmic progress will be needed before such an advantage can be achieved."
[2408.03145] Quantum Simulations of Chemistry in First Quantization with any Basis Set
Authors: Georges, Timothy N.; Bothe, Marius; Sünderhauf, Christoph; Berntson, Bjorn K.; Izsák, Róbert; Ivanov, Aleksei V.
(Tuesday, August 06, 2024) "Quantum computation of the energy of molecules and materials is one of the most promising applications of fault-tolerant quantum computers. However, practical applications require algorithms with reduced resource requirements. Previous work has mainly represented the Hamiltonian of the system in second quantization. Existing methods in first quantization are limited to grid-based approaches that do not allow for active space calculations. In this work, we present a method to solve the generic ground-state chemistry problem in first quantization on a fault-tolerant quantum computer using any basis set. This allows for calculations in the active space using modern quantum chemistry basis sets. We derive a linear-combination-of-unitaries decomposition for a chemical Hamiltonian in first quantization and then construct an efficient block encoding, exploiting sparsity of the Hamiltonian. For active space calculations using a molecular orbital basis set, we achieve an asymptotic speed up in Toffoli-gate count compared to the equivalent method in second quantization [Berry, et. al. Quantum 3, 208 (2019)]. We also consider the dual plane waves for materials simulations and find that in physically interesting regimes we achieve orders of magnitude improvement in quantum resources compared to the second quantization counterpart. In some instances, our approach provides similar or even lower resources compared to the first quantization plane wave algorithm of Refs.[Babbush, et. al npj Quantum Inf 5(1) 92 (2019), Su et. al PRX Quantum 2(4), 040332 (2021)] that, unlike our approach, avoids loading the classical data from quantum memory. This work opens up possibilities to reduce quantum resources even further using factorization methods of a Hamiltonian or modern pseudopotentials. Furthermore, our approach can be adapted to other applications, such as the vibrational properties of chemical systems."
Quantum Computing and AI, but not necessarily together: Tech Leader/Ph.D., Non-Executive Director, Author, Advisor, Pundit, Keynote Speaker, Analyst, Professor, Cat Lover
3 个月Also here: https://open.substack.com/pub/drbobsutor/p/notable-and-interesting-recent-quantum-b3c?r=3lqa3p&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true