superconducting

A selection of the most important recent news, articles, and papers about quantum computing.

News, Articles, and Analyses

Infleqtion Leads the Way with First Quantum Computer Installation at NQCC — Infleqtion

(Tuesday, July 16, 2024) “We’re thrilled to announce the installation of our state-of-the-art neutral atom quantum computer at the National Quantum Computing Centre (NQCC). As the first company to deploy hardware under the NQCC’s quantum computing testbed programme, this milestone showcases our cutting-edge technology and de”

Oxford company unveils ‘pivotal’ quantum computing chip – BBC News

(Tuesday, July 16, 2024) “Oxford Ionics claim to have created the first quantum chip of its kind that could be mass-produced.”

Pritzker announces federal partner for quantum computing campus

(Wednesday, July 17, 2024) “CHICAGO (WCIA) — Illinois’ proposal to create a new quantum computing campus has a new partner with a federal agency. Governor J.B. Pritzker announced the partnership of Defense Advanced Research Projects Agency, part of the U.S. Department of Defense, with Illinois’ quantum computing campus Tuesday. The partnership is named Quantum Proving Ground. “The future of […]”

Technical Papers and Preprints

[2107.02151] Continuous Variable Quantum Algorithms: an Introduction

Authors: Buck, Samantha; Coleman, Robin; Sargsyan, Hayk

(Monday, July 05, 2021) “Quantum computing is usually associated with discrete quantum states and physical quantities possessing discrete eigenvalue spectrum. However, quantum computing in general is any computation accomplished by the exploitation of quantum properties of physical quantities, discrete or otherwise. It has been shown that physical quantities with continuous eigenvalue spectrum can be used for quantum computing as well. Currently, continuous variable quantum computing is a rapidly developing field both theoretically and experimentally. In this pedagogical introduction we present the basic theoretical concepts behind it and the tools for algorithm development. The paper targets readers with discrete quantum computing background, who are new to continuous variable quantum computing.”

Towards quantum enhanced adversarial robustness in machine learning | Nature Machine Intelligence

(Thursday, May 25, 2023) “To fulfil the potential of quantum machine learning for practical applications in the near future, it needs to be robust against adversarial attacks. West and colleagues give an overview of recent developments in quantum adversarial machine learning, and outline key challenges and future research directions to advance the field.”

[2407.02467] Error mitigation with stabilized noise in superconducting quantum processors

Authors: Kim, Youngseok; Govia, Luke C. G.; Dane, Andrew; Berg, Ewout van den; Zajac, David M.; Mitchell, Bradley; Liu, Yinyu; Balakrishnan, Karthik; Keefe, George; Stabile, Adam; Pritchett, Emily; Stehlik, Jiri; Kandala, Abhinav

(Tuesday, July 02, 2024) “Pre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has been enabled by error mitigation techniques that often rely on a representative model on the device noise. However, learning and maintaining these models is complicated by fluctuations in the noise over unpredictable time scales, for instance, arising from resonant interactions between superconducting qubits and defect two-level systems (TLS). Such interactions affect the stability and uniformity of device performance as a whole, but also affect the noise model accuracy, leading to incorrect observable estimation. Here, we experimentally demonstrate that tuning of the qubit-TLS interactions helps reduce noise instabilities and consequently enables more reliable error-mitigation performance. These experiments provide a controlled platform for studying the performance of error mitigation in the presence of quasi-static noise. We anticipate that the capabilities introduced here will be crucial for the exploration of quantum applications on solid-state processors at non-trivial scales.”

[2407.05178] A typology of quantum algorithms

Authors: Arnault, Pablo; Arrighi, Pablo; Herbert, Steven; Kasnetsi, Evi; Li, Tianyi

(Saturday, July 06, 2024) “We draw the current landscape of quantum algorithms, by classifying about 130 quantum algorithms, according to the fundamental mathematical problems they solve, their real-world applications, the main subroutines they employ, and several other relevant criteria. The primary objectives include revealing trends of algorithms, identifying promising fields for implementations in the NISQ era, and identifying the key algorithmic primitives that power quantum advantage.”