Tuning colour centres at a twisted hexagonal boron nitride interface DOI
Cong Su, Fang Zhang, Salman Kahn

et al.

Nature Materials, Journal Year: 2022, Volume and Issue: 21(8), P. 896 - 902

Published: July 14, 2022

Language: Английский

Scaling deep learning for materials discovery DOI Creative Commons
Amil Merchant, Simon Batzner, Samuel S. Schoenholz

et al.

Nature, Journal Year: 2023, Volume and Issue: 624(7990), P. 80 - 85

Published: Nov. 29, 2023

Abstract Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing 1–11 . From microchips batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by expensive trial-and-error approaches. Concurrently, deep-learning models for language, vision biology have showcased emergent predictive capabilities with increasing data computation 12–14 Here we show that graph networks trained at scale can reach unprecedented levels generalization, improving the efficiency an order magnitude. Building on 48,000 stable identified in continuing studies 15–17 , improved enables 2.2 million structures below current convex hull, many which escaped previous human chemical intuition. Our work represents order-of-magnitude expansion known humanity. Stable discoveries are final hull will be made available screen applications, as demonstrate layered solid-electrolyte candidates. Of structures, 736 already independently experimentally realized. The diversity hundreds millions first-principles calculations also unlock modelling downstream leading particular highly accurate robust learned interatomic potentials used condensed-phase molecular-dynamics simulations high-fidelity zero-shot prediction ionic conductivity.

Language: Английский

Citations

478

High-threshold and low-overhead fault-tolerant quantum memory DOI Creative Commons
Sergey Bravyi, Andrew W. Cross, Jay Gambetta

et al.

Nature, Journal Year: 2024, Volume and Issue: 627(8005), P. 778 - 782

Published: March 27, 2024

Abstract The accumulation of physical errors 1–3 prevents the execution large-scale algorithms in current quantum computers. Quantum error correction 4 promises a solution by encoding k logical qubits onto larger number n qubits, such that are suppressed enough to allow running desired computation with tolerable fidelity. becomes practically realizable once rate is below threshold value depends on choice code, syndrome measurement circuit and decoding algorithm 5 . We present an end-to-end protocol implements fault-tolerant memory basis family low-density parity-check codes 6 Our approach achieves 0.7% for standard circuit-based noise model, par surface code 7–10 20 years was leading terms threshold. cycle length- our requires ancillary depth-8 CNOT gates, qubit initializations measurements. required connectivity degree-6 graph composed two edge-disjoint planar subgraphs. In particular, we show 12 can be preserved nearly 1 million cycles using 288 total, assuming 0.1%, whereas would require 3,000 achieve said performance. findings bring demonstrations low-overhead within reach near-term processors.

Language: Английский

Citations

117

Fluxonium: An Alternative Qubit Platform for High-Fidelity Operations DOI
Feng Bao, Hao Deng, Dawei Ding

et al.

Physical Review Letters, Journal Year: 2022, Volume and Issue: 129(1)

Published: June 28, 2022

Superconducting qubits provide a promising path toward building large-scale quantum computers. The simple and robust transmon qubit has been the leading platform, achieving multiple milestones. However, fault-tolerant computing calls for operations at error rates significantly lower than those exhibited in state of art. Consequently, alternative superconducting with better protection have attracted increasing interest. Among them, fluxonium is particularly candidate, featuring large anharmonicity long coherence times. Here, we engineer fluxonium-based processor that integrates high qubit-coherence, fast frequency-tunability, individual-qubit addressability reset, readout, gates. With gate schemes, achieve an average single-qubit fidelity 99.97% two-qubit up to 99.72%. This performance comparable highest values reported literature circuits. Thus our work, first time within realm qubits, reveals approach competitive system.

Language: Английский

Citations

110

Direct manipulation of a superconducting spin qubit strongly coupled to a transmon qubit DOI
Marta Pita‐Vidal, Arno Bargerbos, Rok Žitko

et al.

Nature Physics, Journal Year: 2023, Volume and Issue: 19(8), P. 1110 - 1115

Published: May 22, 2023

Language: Английский

Citations

90

Localization and Mitigation of Loss in Niobium Superconducting Circuits DOI Creative Commons
M. Virginia P. Altoé,

Archan Banerjee,

Cassidy Berk

et al.

PRX Quantum, Journal Year: 2022, Volume and Issue: 3(2)

Published: April 18, 2022

Using selective post-fabrication etching, different ratios of TLS and other resonator losses are associated with the silicon niobium surface oxides, while coherent lifetime is increased by a factor five.

Language: Английский

Citations

74

Noisy intermediate-scale quantum computers DOI Creative Commons
Bin Cheng, Xiu–Hao Deng, Xiu Gu

et al.

Frontiers of Physics, Journal Year: 2023, Volume and Issue: 18(2)

Published: March 7, 2023

Quantum computers have made extraordinary progress over the past decade, and significant milestones been achieved along path of pursuing universal fault-tolerant quantum computers. advantage, tipping point heralding era, has accomplished with several waves breakthroughs. hardware become more integrated architectural compared to its toddler days. The controlling precision various physical systems is pushed beyond threshold. Meanwhile, computation research established a new norm by embracing industrialization commercialization. joint power governments, private investors, tech companies significantly shaped vibrant environment that accelerates development this field, now at beginning noisy intermediate-scale era. Here, we first discuss in field reviewing most important algorithms advances promising technical routes, then summarizing next-stage challenges. Furthermore, illustrate our confidence solid foundations built for computer optimism emergence killer applications essential human society shall happen future.

Language: Английский

Citations

71

Modern computing: Vision and challenges DOI Creative Commons
Sukhpal Singh Gill, Huaming Wu,

Panos Patros

et al.

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 13, P. 100116 - 100116

Published: Jan. 8, 2024

Language: Английский

Citations

70

Chirality‐Induced Spin Selectivity: An Enabling Technology for Quantum Applications DOI Creative Commons
Alessandro Chiesa, Alberto Privitera, Emilio Macaluso

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(28)

Published: May 12, 2023

Molecular spins are promising building blocks of future quantum technologies thanks to the unparalleled flexibility provided by chemistry, which allows design complex structures targeted for specific applications. However, their weak interaction with external stimuli makes it difficult access state at single-molecule level, a fundamental tool use, example, in computing and sensing. Here, an innovative solution exploiting interplay between chirality magnetism using chirality-induced spin selectivity effect on electron transfer processes is foreseen. It envisioned use spin-to-charge conversion mechanism that can be realized connecting molecular qubit dyad where donor acceptor linked chiral bridge. By numerical simulations based realistic parameters, shown could enable initialization, manipulation, single-spin readout qubits qudits even relatively high temperatures.

Language: Английский

Citations

64

Advances and New Research Opportunities in Quantum Computing Technology by Integrating it with Other ICCT Underlying Technologies DOI Open Access
P. S. Aithal

International Journal of Case Studies in Business IT and Education, Journal Year: 2023, Volume and Issue: unknown, P. 314 - 358

Published: Sept. 8, 2023

Purpose: To explore the vast potential and possibilities that arise from synergizing quantum computing with other foundational technologies in field of Information, Communication, Computing Technologies (ICCT). By integrating ICCT technologies, such as artificial intelligence, data analytics, cryptography, communication networks, researchers aim to unlock unprecedented computational power efficiency, thereby revolutionizing various industries scientific domains. This research seeks unravel novel applications, enhance robustness scalability systems, pave way for transformative advancements will shape future information processing paradigms. Ultimately, this interdisciplinary exploration holds key unleashing full capabilities opens doors groundbreaking innovations were once considered beyond reach. Methodology: Exploratory method is used analyse interpret related collected using secondary sources Google search engine Scholar well quasi-secondary including AI supported GPT Bard. ABCD analysis framework study advantages, benefits, constraints, disadvantages integration Quantum technology Underlying Technologies. Finally, results are interpreted concluded by developing 12 postulates. Findings: The demonstrate underlying offering improvements power, security, efficiency across applications. As continues advance, its lead new opportunities innovation development more sophisticated powerful systems. Originality/Value: paper evaluates advances area technology. A idea proposed analysed framework. form Type Paper:

Language: Английский

Citations

52

All-silicon quantum light source by embedding an atomic emissive center in a nanophotonic cavity DOI Creative Commons
Walid Redjem, Yertay Zhiyenbayev, Wayesh Qarony

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: June 7, 2023

Silicon is the most scalable optoelectronic material but has suffered from its inability to generate directly and efficiently classical or quantum light on-chip. Scaling integration are fundamental challenges facing science technology. We report an all-silicon source based on a single atomic emissive center embedded in silicon-based nanophotonic cavity. observe more than 30-fold enhancement of luminescence, near-unity atom-cavity coupling efficiency, 8-fold acceleration emission center. Our work opens immediate avenues for large-scale integrated cavity electrodynamics light-matter interfaces with applications communication networking, sensing, imaging, computing.

Language: Английский

Citations

51