Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum data centres: a simulation-based comparative noise analysis
K. Campbell, M. Razavi, Ahmed Lawey·Jul 15, 2024
Quantum data centres (QDCs) could overcome the scalability challenges of modern quantum computers. Single-processor monolithic quantum computers are affected by increased cross talk and difficulty of implementing gates when the number of qubits is in...
Qubit-count optimization using ZX-calculus
Vivien Vandaele·Jul 14, 2024
We propose several methods for optimizing the number of qubits in a quantum circuit while preserving the number of non-Clifford gates. One of our approaches consists in reversing, as much as possible, the gadgetization of Hadamard gates, which is a p...
Benchmarking Quantum Gates and Circuits
Vinay Tripathi, Daria Kowsari, Kumar Saurav +3 more·Jul 13, 2024
Accurate noise characterization in quantum gates and circuits is vital for the development of reliable quantum simulations for chemically relevant systems and fault-tolerant quantum computing. This paper reviews a variety of key benchmarking techniqu...
Practicality of a quantum adiabatic algorithm for chemistry applications
Etienne Granet, K. Ghanem, Henrik Dreyer·Jul 13, 2024
Despite its simplicity and strong theoretical guarantees, adiabatic state preparation has received considerably less interest than variational approaches for the preparation of low-energy electronic structure states. Two major reasons for this are th...
Digital-analog quantum genetic algorithm using Rydberg-atom arrays
A. Llenas, L. Lamata·Jul 12, 2024
Digital-analog quantum computing (DAQC) combines digital gates with analog operations, offering an alternative paradigm for universal quantum computation. This approach leverages the higher fidelities of analog operations and the flexibility of local...
Lower T-count with faster algorithms
Vivien Vandaele·Jul 11, 2024
Among the cost metrics characterizing a quantum circuit, the T-count stands out as one of the most crucial as its minimization is particularly important in various areas of quantum computation such as fault-tolerant quantum computing and quantum circ...
XYZ Ruby Code: Making a Case for a Three-Colored Graphical Calculus for Quantum Error Correction in Spacetime
J. M. D. L. Fuente, Josias Old, Alex Townsend-Teague +3 more·Jul 11, 2024
Analyzing and developing new quantum error-correcting (QEC) schemes is one of the most prominent tasks in quantum computing research. In such efforts, introducing time dynamics explicitly in both analysis and design of error-correcting protocols cons...
Scalable, high-fidelity all-electronic control of trapped-ion qubits
C. Loschnauer, J. M. Toba, A. C. Hughes +10 more·Jul 10, 2024
The central challenge of quantum computing is implementing high-fidelity quantum gates at scale. However, many existing approaches to qubit control suffer from a scale-performance trade-off, impeding progress towards the creation of useful devices. H...
Optimal number of parametrized rotations and Hadamard gates in parametrized Clifford circuits with non-repeated parameters
Vivien Vandaele, S. Perdrix, Christophe Vuillot·Jul 10, 2024
We present an efficient algorithm to reduce the number of non-Clifford gates in quantum circuits and the number of parametrized rotations in parametrized quantum circuits. The method consists in finding rotations that can be merged into a single rota...
Scalable Improvement of the Generalized Toffoli Gate Realization Using Trapped-Ion-Based Qutrits.
Anastasiia S. Nikolaeva, I. Zalivako, A. Borisenko +8 more·Jul 10, 2024
An efficient implementation of the Toffoli gate is of conceptual importance for running various quantum algorithms, including Grover's search and Shor's integer factorization. However, direct implementation of the Toffoli gate either entails a prohib...
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
Archisman Ghosh, Swaroop Ghosh·Jul 9, 2024
Quantum Machine Learning (QML) is an amalgamation of quantum computing paradigms with machine learning models, providing significant prospects for solving complex problems. However, with the expansion of numerous third-party vendors in the Noisy Inte...
Erasing Doppler dephasing error in Rydberg quantum gates
Rui Li, Jing Qian, Weiping Zhang·Jul 9, 2024
The Doppler dephasing error due to residual thermal motion of atoms is a major cause of infidelity in neutral-atom quantum gates. Besides cooling and trapping advancements, few effective methods exist to mitigate this error. In the present work, we f...
Low-cost noise reduction for Clifford circuits
Nicolas Delfosse, Edwin Tham·Jul 9, 2024
We propose a Clifford noise reduction (CliNR) scheme that provides a reduction of the logical error rate of Clifford circuit with lower overhead than error correction and without the exponential sampling overhead of error mitigation. CliNR implements...
BHT-QAOA: Generalizing Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians
A. Al-Bayaty, M. Perkowski·Jul 9, 2024
A new methodology is proposed to solve classical Boolean problems as Hamiltonians, using the quantum approximate optimization algorithm (QAOA). Our methodology successfully finds all optimized approximated solutions for Boolean problems, after conver...
Realizing Scalable Conditional Operations through Auxiliary Energy Levels
Sheng Zhang, Peng Duan, Yun-Jie Wang +19 more·Jul 9, 2024
In the noisy intermediate-scale quantum (NISQ) era, flexible quantum operations are essential for advancing large-scale quantum computing, as they enable shorter circuits that mitigate decoherence and reduce gate errors. However, the complex control ...
Heisenberg-limited Bayesian phase estimation with low-depth digital quantum circuits
Su Direkci, Ran Finkelstein, Manuel Endres +1 more·Jul 8, 2024
Optimal phase estimation protocols require complex state preparation and readout schemes, generally unavailable or unscalable in many quantum platforms. We develop and analyze a scheme that achieves near-optimal precision up to a constant overhead fo...
Passive Photonic CZ Gate with Two-Level Emitters in Chiral Multimode Waveguide QED
Tomás Levy-Yeyati, C. Vega, T. Ramos +1 more·Jul 8, 2024
Engineering deterministic photonic gates with simple resources is one of the long-standing challenges in photonic quantum computing. Here, we design a passive conditional gate between copropagating photons using an array of only two-level emitters. T...
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero, S. Biswas, F. Vilariño +1 more·Jul 8, 2024
Quantum machine learning (QML) investigates how quantum phenomena can be exploited in order to learn data in an alternative way, \textit{e.g.} by means of a quantum computer. While recent results evidence that QML models can potentially surpass their...
Over-rotation coherent error induced by pseudotwirling of quantum gates
Tanmoy Pandit, R. Uzdin·Jul 8, 2024
Quantum error mitigation schemes (QEM) have greatly enhanced the performance of quantum computers, mostly by reducing errors caused by interactions with the environment. Nevertheless, the presence of coherence errors, typically arising from miscalibr...
Circuit Partitioning and Transmission Cost Optimization in Distributed Quantum Circuits
Xinyu Chen, Zilu Chen, P. Zhu +2 more·Jul 8, 2024
Given the limitations on the number of qubits in current noisy intermediate-scale quantum (NISQ) devices, the implementation of large-scale quantum algorithms on such devices is challenging, prompting research into distributed quantum computing. This...