Demonstration of quantum volume 64 on a superconducting quantum
computing system
- URL: http://arxiv.org/abs/2008.08571v2
- Date: Fri, 4 Sep 2020 19:17:58 GMT
- Title: Demonstration of quantum volume 64 on a superconducting quantum
computing system
- Authors: Petar Jurcevic, Ali Javadi-Abhari, Lev S. Bishop, Isaac Lauer, Daniela
F. Bogorin, Markus Brink, Lauren Capelluto, Oktay G\"unl\"uk, Toshinari
Itoko, Naoki Kanazawa, Abhinav Kandala, George A. Keefe, Kevin Krsulich,
William Landers, Eric P. Lewandowski, Douglas T. McClure, Giacomo Nannicini,
Adinath Narasgond, Hasan M. Nayfeh, Emily Pritchett, Mary Beth Rothwell,
Srikanth Srinivasan, Neereja Sundaresan, Cindy Wang, Ken X. Wei, Christopher
J. Wood, Jeng-Bang Yau, Eric J. Zhang, Oliver E. Dial, Jerry M. Chow, Jay M.
Gambetta
- Abstract summary: We improve the quality of quantum circuits on superconducting quantum computing systems, as measured by the quantum volume.
This result shows that the path to larger quantum volume systems requires the simultaneous increase of coherence, control gate fidelities, measurement fidelities, and smarter software.
- Score: 5.03223089903632
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We improve the quality of quantum circuits on superconducting quantum
computing systems, as measured by the quantum volume, with a combination of
dynamical decoupling, compiler optimizations, shorter two-qubit gates, and
excited state promoted readout. This result shows that the path to larger
quantum volume systems requires the simultaneous increase of coherence, control
gate fidelities, measurement fidelities, and smarter software which takes into
account hardware details, thereby demonstrating the need to continue to
co-design the software and hardware stack for the foreseeable future.
Related papers
- Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
We develop a reinforcement learning-based quantum compiler for a superconducting processor.
We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths.
Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
arXiv Detail & Related papers (2024-06-18T01:49:48Z) - A Quantum-Classical Collaborative Training Architecture Based on Quantum
State Fidelity [50.387179833629254]
We introduce a collaborative classical-quantum architecture called co-TenQu.
Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting.
It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
arXiv Detail & Related papers (2024-02-23T14:09:41Z) - Enhanced quantum state transfer: Circumventing quantum chaotic behavior [35.74056021340496]
We show how to transfer few-particle quantum states in a two-dimensional quantum network.
Our approach paves the way to short-distance quantum communication for connecting distributed quantum processors or registers.
arXiv Detail & Related papers (2024-02-01T19:00:03Z) - QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum
Circuits [82.50620782471485]
QuantumSEA is an in-time sparse exploration for noise-adaptive quantum circuits.
It aims to achieve two key objectives: (1) implicit circuits capacity during training and (2) noise robustness.
Our method establishes state-of-the-art results with only half the number of quantum gates and 2x time saving of circuit executions.
arXiv Detail & Related papers (2024-01-10T22:33:00Z) - On-the-fly Tailoring towards a Rational Ansatz Design for Digital
Quantum Simulations [0.0]
It is imperative to develop low depth quantum circuits that are physically realizable in quantum devices.
We develop a disentangled ansatz construction protocol that can dynamically tailor an optimal ansatz.
The construction of the ansatz may potentially be performed in parallel quantum architecture through energy sorting and operator commutativity prescreening.
arXiv Detail & Related papers (2023-02-07T11:22:01Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - The Future of Quantum Computing with Superconducting Qubits [2.6668731290542222]
We see a branching point in computing paradigms with the emergence of quantum processing units (QPUs)
Extracting the full potential of computation and realizing quantum algorithms with a super-polynomial speedup will most likely require major advances in quantum error correction technology.
Long term, we see hardware that exploits qubit connectivity in higher than 2D topologies to realize more efficient quantum error correcting codes.
arXiv Detail & Related papers (2022-09-14T18:00:03Z) - Full-stack quantum computing systems in the NISQ era: algorithm-driven
and hardware-aware compilation techniques [1.3496450124792878]
We will provide an overview on current full-stack quantum computing systems.
We will emphasize the need for tight co-design among adjacent layers as well as vertical cross-layer design.
arXiv Detail & Related papers (2022-04-13T13:26:56Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z) - Observation of Two-Vertex Four-Dimensional Spin Foam Amplitudes with a
10-qubit Superconducting Quantum Processor [9.97985702674407]
Quantum computers are an increasingly hopeful means for understanding large quantum many-body systems bearing high computational complexity.
In this work, we apply a 10-qubit superconducting quantum processor, where the all-to-all circuit connectivity enables a many-body entangling gate.
With the device metrics such as qubit coherence, control accuracy, and integration level being continuously improved, superconducting quantum processors are expected to outperform their classical counterparts.
arXiv Detail & Related papers (2020-07-27T16:50:49Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.