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 Imaginary Time Propagation algorithm for preparing thermal states
F. Turro·Jun 28, 2023
Calculations at finite temperatures are fundamental in different scientific fields, from nuclear physics to condensed matter. Evolution in imaginary time is a prominent classical technique for preparing thermal states of quantum systems. We propose a...
Classically Computing Performance Bounds on Depolarized Quantum Circuits
Sattwik Deb Mishra, Miguel Fr'ias-P'erez, Rahul Trivedi·Jun 28, 2023
Quantum computers and simulators can potentially outperform classical computers in finding ground states of classical and quantum Hamiltonians. However, if this advantage can persist in the presence of noise without error correction remains unclear. ...
Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
K. Kechedzhi, S. Isakov, S. Mandrà +4 more·Jun 28, 2023
Today's experimental noisy quantum processors can compete with and surpass all known algorithms on state-of-the-art supercomputers for the computational benchmark task of Random Circuit Sampling [1-5]. Additionally, a circuit-based quantum simulation...
Parallel multi-two-qubit swap gate via quantum nondemolition interaction of orbital-angular-momentum light and an atomic ensemble
E. N. Bashmakova, E. A. Vashukevich, T. Golubeva·Jun 28, 2023
Nowadays quantum SWAP gate has become an integral part of quantum computing, so investigation of methods of its realization seems to be an important practical problem for various quantum-optical and information applications. In the present paper we p...
High-Q trenched aluminum coplanar resonators with an ultrasonic edge microcutting for superconducting quantum devices
E. V. Zikiy, A. Ivanov, N. Smirnov +7 more·Jun 28, 2023
Dielectric losses are one of the key factors limiting the coherence of superconducting qubits. The impact of materials and fabrication steps on dielectric losses can be evaluated using coplanar waveguide (CPW) microwave resonators. Here, we report on...
The SpinBus architecture for scaling spin qubits with electron shuttling
Matthias Künne, Alexander Willmes, Max Oberländer +10 more·Jun 28, 2023
Quantum processor architectures must enable scaling to large qubit numbers while providing two-dimensional qubit connectivity and exquisite operation fidelities. For microwave-controlled semiconductor spin qubits, dense arrays have made considerable ...
Minimising surface-code failures using a color-code decoder
Asmae Benhemou, K. Sahay, L. Lao +1 more·Jun 28, 2023
The development of practical, high-performance decoding algorithms reduces the resource cost of fault-tolerant quantum computing. Here we propose a decoder for the surface code that finds low-weight correction operators for errors produced by the dep...
Synthesis of Quantum Vector Databases Based on Grovers Algorithm
C. B. Pronin, A. Ostroukh·Jun 27, 2023
This paper describes a method for using Grovers algorithm to create a quantum vector database, the database stores embeddings based on Controlled-S gates, which represent a binary numerical value. This value represents the embeddings value. The proce...
Efficient Photonic Integration of Diamond Color Centers and Thin-Film Lithium Niobate
D. Riedel, H. Lee, Jason F. Herrmann +11 more·Jun 27, 2023
On-chip photonic quantum circuits with integrated quantum memories have the potential to radically progress hardware for quantum information processing. In particular, negatively charged group-IV color centers in diamond are promising candidates for ...
Efficient Photonic Graph State Generation
Seungbeom Chin, W. J. Munro·Jun 27, 2023
Graph states are central resources for quantum information processing, supporting applications in computation, communication, and error correction. In photonic systems, they are typically assembled from smaller entangled states using probabilistic fu...
Hybrid noise protection of logical qubits for universal quantum computation
Zhao-Ming Wang, Feng-Hua Ren, M. Byrd +1 more·Jun 27, 2023
Quantum computers now show the promise of surpassing any possible classical machine. However, errors limit this ability and current machines do not have the ability to implement error correcting codes due to the limited number of qubits and limited c...
Quantum Fourier networks for solving parametric PDEs
Nishant Jain, Jonas Landman, Natansh Mathur +1 more·Jun 27, 2023
Many real-world problems, like modelling environment dynamics, physical processes, time series etc involve solving partial differential equations (PDEs) parameterised by problem-specific conditions. Recently, a deep learning architecture called Fouri...
Machine Learning based Noise Characterization and Correction on Neutral Atoms NISQ Devices
Ettore Canonici, Stefano Martina, R. Mengoni +2 more·Jun 27, 2023
Neutral atoms devices represent a promising technology using optical tweezers to geometrically arrange atoms and modulated laser pulses to control their quantum states. They are exploited as noisy intermediate‐scale quantum (NISQ) processors. Indeed,...
Modeling Si/SiGe quantum dot variability induced by interface disorder reconstructed from multiperspective microscopy
L. Peña, J. Koepke, J. Dycus +4 more·Jun 27, 2023
SiGe heteroepitaxial growth yields pristine host material for quantum dot qubits, but residual interface disorder can lead to qubit-to-qubit variability that might pose an obstacle to reliable SiGe-based quantum computing. By convolving data from sca...
A framework of partial error correction for intermediate-scale quantum computers
Nikolaos Koukoulekidis, Samson Wang, Tom O'Leary +3 more·Jun 27, 2023
As quantum computing hardware steadily increases in qubit count and quality, one important question is how to allocate these resources to mitigate the effects of hardware noise. In a transitional era between noisy small-scale and fully fault-tolerant...
Robust and Space-Efficient Dual Adversary Quantum Query Algorithms
M. Czekanski, S. Kimmel, R. Witter +4 more·Jun 26, 2023
The general adversary dual is a powerful tool in quantum computing because it gives a query-optimal bounded-error quantum algorithm for deciding any Boolean function. Unfortunately, the algorithm uses linear qubits in the worst case, and only works i...
Fighting Noise with Noise: A Stochastic Projective Quantum Eigensolver
Maria-Andreea Filip·Jun 26, 2023
In the current noisy intermediate scale quantum era of quantum computation, available hardware is severely limited by both qubit count and noise levels, precluding the application of many current hybrid quantum-classical algorithms to nontrivial quan...
Estimating quantum mutual information through a quantum neural network
Myeongjin Shin, Junseo Lee, Kabgyun Jeong·Jun 26, 2023
We propose a method of quantum machine learning called quantum mutual information neural estimation (QMINE) for estimating von Neumann entropy and quantum mutual information, which are fundamental properties in quantum information theory. The QMINE p...
Backpropagation scaling in parameterised quantum circuits
Joseph Bowles, David Wierichs, Chae-Yeun Park·Jun 26, 2023
The discovery of the backpropagation algorithm ranks among one of the most important moments in the history of machine learning, and has made possible the training of large-scale neural networks through its ability to compute gradients at roughly the...
Streaming Quantum Gate Set Tomography Using the Extended Kalman Filter
J. P. Marceaux, Kevin C. Young·Jun 26, 2023
Closed-loop control algorithms for real-time calibration of quantum processors require efficient filters that can estimate physical error parameters based on streams of measured quantum circuit outcomes. Development of such filters is complicated by ...