Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Optimizing control fields for adiabatic protocols in the presence of noise
Marllos E. F. Fernandes, E. Lima, L. Castelano·Jun 12, 2023
Quantum control techniques are employed to perform adiabatic quantum computing in the presence of noise. First, we analyze the adiabatic entanglement protocol (AEP) for two qubits. In this case, we found that this protocol is very robust against nois...
Simulating Noisy Variational Quantum Algorithms: A Polynomial Approach.
Yuguo Shao, Fuchuan Wei, Song Cheng +1 more·Jun 9, 2023
Large-scale variational quantum algorithms are widely recognized as a potential pathway to achieve practical quantum advantages. However, the presence of quantum noise might suppress and undermine these advantages, which blurs the boundaries of class...
Dangling Bonds as Possible Contributors to Charge Noise in Silicon and Silicon-Germanium Quantum Dot Qubits.
J. Varley, K. G. Ray, V. Lordi·Jun 9, 2023
Spin qubits based on Si and Si1-xGex quantum dot architectures exhibit among the best coherence times of competing quantum computing technologies, yet they still suffer from charge noise that limit their qubit gate fidelities. Identifying the origins...
Hybrid Logical-Physical Qubit Interaction as a Post Selection Oracle
Nadav Carmel, N. Katz·Jun 8, 2023
We demonstrate a property of the quantum 5-qubit stabilizer code that enables the interaction between qubits of different logical layers, and conduct a full density-matrix simulation of an interaction between a logical and a physical qubit. We use th...
Quantum Wasserstein distance between unitary operations
Xinyu Qiu, Lin Chen, Lijun Zhao·Jun 8, 2023
Quantifying the effect of noise on unitary operations is an essential task in quantum information processing. We propose the quantum Wasserstein distance between unitary operations, which shows an explanation for quantum circuit complexity and charac...
Error mitigation of BQP computations using measurement-based verification
J. Harris, E. Kashefi·Jun 7, 2023
We present a modular error mitigation protocol for running bounded-error quantum polynomial time (BQP) computations on a quantum computer with time-dependent noise. Utilizing existing tools from quantum verification and measurement-based quantum comp...
Effects of Markovian noise and cavity disorders on the entanglement dynamics of double Jaynes-Cummings models
H. Rathee, Kishore Thapliyal, Anirban Pathak·Jun 6, 2023
The ability to prepare and manipulate non-classical states, such as entangled qubits, is fundamental to the development of quantum information processing, communication, and computation. In this work, we investigate the dynamics of a double Jaynes-Cu...
Limitations of Noisy Quantum Devices in Computational and Entangling Power
Yuxuan Yan, Zhenyu Du, Junjie Chen +1 more·Jun 5, 2023
Finding solid and practical quantum advantages via noisy quantum devices without error correction is a critical but challenging problem. Conversely, comprehending the fundamental limitations of the state-of-the-art is equally crucial. In this work, w...
Feasibility of performing quantum chemistry calculations on quantum computers
Thibaud Louvet, Thomas Ayral, Xavier Waintal·Jun 5, 2023
Quantum chemistry is envisioned as an early and disruptive application for quantum computers. Yet, closer scrutiny of the proposed algorithms shows that there are considerable difficulties along the way. Here, we propose two criteria for evaluating t...
Noise-Resilient and Reduced Depth Approximate Adders for NISQ Quantum Computing
Bhaskar Gaur, T. Humble, H. Thapliyal·Jun 5, 2023
The "Noisy intermediate-scale quantum" NISQ machine era primarily focuses on mitigating noise, controlling errors, and executing high-fidelity operations, hence requiring shallow circuit depth and noise robustness. Approximate computing is a novel co...
A Logarithmic Depth Quantum Carry-Lookahead Modulo (2n - 1) Adder
Bhaskar Gaur, Edgard Muñoz-Coreas, H. Thapliyal·Jun 5, 2023
Quantum Computing is making significant advancements toward creating machines capable of implementing quantum algorithms in various fields, such as quantum cryptography, quantum image processing, and optimization. The development of quantum arithmeti...
Systems Architecture for Quantum Random Access Memory
Shifan Xu, Connor T. Hann, Ben Foxman +2 more·Jun 5, 2023
Operating on the principles of quantum mechanics, quantum algorithms hold the promise for solving problems that are beyond the reach of the best-available classical algorithms. An integral part of realizing such speedup is the implementation of quant...
Simulating Noisy Quantum Circuits for Cryptographic Algorithms
Sahay Harshvardhan, Sanil Jain, J. McClure +2 more·Jun 3, 2023
The emergence of noisy intermediate-scale quantum (NISQ) computers has important consequences for cryptographic algorithms. It is theoretically well-established that key algorithms used in cybersecurity are vulnerable to quantum computers due to the ...
Quantum annealing-based computed tomography using variational approach for a real-number image reconstruction
A. Haga·Jun 3, 2023
Objective. Despite recent advancements in quantum computing, the limited number of available qubits has hindered progress in CT reconstruction. This study investigates the feasibility of utilizing quantum annealing-based computed tomography (QACT) wi...
Robust and scalable rf spectroscopy in first-order magnetic sensitive states at second-long coherence time
C. -H. Yeh, K. C. Grensemann, L. S. Dreissen +2 more·Jun 2, 2023
Trapped-ion quantum sensors have become highly sensitive tools for the search of physics beyond the Standard Model. Recently, stringent tests of local Lorentz-invariance (LLI) have been conducted with precision spectroscopy in trapped ions. We here e...
Validating an algebraic approach to characterizing resonator networks
V. R. Horowitz, B. Carter, Uriel Hernandez +2 more·Jun 2, 2023
Resonator networks are ubiquitous in natural and engineered systems, such as solid-state materials, electrical circuits, quantum processors, and even neural tissue. To understand and manipulate these networks it is essential to characterize their bui...
Quantum trajectory approach to error mitigation
Brecht Donvil, Rochus Lechler, J. Ankerhold +1 more·May 31, 2023
Quantum error mitigation (EM) is a collection of strategies to reduce errors on noisy intermediate scale quantum (NISQ) devices on which proper quantum error correction is not feasible. One of such strategies entails implementing the inverse of a kno...
Effects of noise on performance of Bernstein-Vazirani algorithm
Archi Gupta, Priyarshini Ghosh, Kornikar Sen +1 more·May 31, 2023
The Bernstein-Vazirani (BV) algorithm offers exceptional accuracy in finding the hidden bit string of a function. We explore how the algorithm performs in real-world situations where noise can potentially interfere with its performance. In order to a...
Aging and reliability of quantum networks
Lisa T. Weinbrenner, Lina Vandré, T. Coopmans +1 more·May 31, 2023
Quantum information science may lead to technological breakthroughs in computing, cryptography and sensing. For the implementation of these tasks, however, complex devices with many components are needed and the quantum advantage may easily be spoile...
Scalable evaluation of incoherent infidelity in quantum devices
Jader P. Santos, Ivan Henao, R. Uzdin·May 30, 2023
Quantum processors can already execute tasks beyond the reach of classical simulation, albeit for artificial problems. At this point, it is essential to design error metrics that test the experimental accuracy of quantum algorithms with potential for...