Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QOS: A Quantum Operating System
Emmanouil Giortamis, Francisco Romão, Nathaniel Tornow +1 more·Jun 27, 2024
Quantum computers face challenges due to hardware constraints, noise errors, and heterogeneity, and face fundamental design tradeoffs between key performance metrics such as \textit{quantum fidelity} and system utilization. This substantially complic...
KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
Akash Kundu, Aritra Sarkar, Abhishek Sadhu·Jun 25, 2024
Quantum architecture Search (QAS) is a promising direction for optimization and automated design of quantum circuits towards quantum advantage. Recent techniques in QAS emphasize Multi-Layer Perceptron (MLP)-based deep Q-networks. However, their inte...
Efficient classical algorithm for simulating boson sampling with heterogeneous partial distinguishability
S. N. V. D. Hoven, E. Kanis, J. Renema·Jun 25, 2024
Boson sampling is one of the leading protocols for demonstrating a quantum advantage, but the theory of how this protocol responds to noise is still incomplete. We extend the theory of classical simulation of boson sampling with partial distinguishab...
Characterizing Grover search algorithm on large-scale superconducting quantum computers
M. AbuGhanem·Jun 23, 2024
Quantum computing is on the cusp of transforming the way we tackle complex problems, and the Grover search algorithm exemplifying its potential to revolutionize the search for unstructured large datasets, offering remarkable speedups over classical m...
Nonlinearity of the Fidelity in Open Qudit Systems: Gate and Noise Dependence in High-dimensional Quantum Computing
Jean-Gabriel Hartmann, D. Jankovi'c, R'emi Pasquier +2 more·Jun 21, 2024
High-dimensional quantum computing has generated significant interest due to its potential to address scalability and error correction challenges faced by traditional qubit-based systems. This paper investigates the Average Gate Fidelity (AGF) of sin...
Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations
Jai Moondra, Philip C. Lotshaw, Greg Mohler +1 more·Jun 20, 2024
We develop new approximate compilation schemes that significantly reduce the expense of compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut problem. Our main focus is on compilation with trapped-ion simulators usin...
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yanjun Wang +2 more·Jun 20, 2024
The state vector-based simulation offers a convenient approach to developing and validating quantum algorithms with noise-free results. However, limited by the absence of cache-aware implementations and unpolished circuit optimizations, the past simu...
Compact fermionic quantum state preparation with a natural-orbitalizing variational quantum eigensolving scheme
Pauline Besserve, M. Ferrero, T. Ayral·Jun 20, 2024
Assemblies of strongly interacting fermions, whether in a condensed-matter or a quantum chemistry context, range amongst the most promising candidate systems for which quantum computing platforms could provide an advantage. Near-term quantum state pr...
High-threshold, low-overhead and single-shot decodable fault-tolerant quantum memory
Thomas R. Scruby, Timo Hillmann, Joschka Roffe·Jun 20, 2024
We present a new family of quantum low-density parity-check codes, which we call radial codes, obtained from the lifted product of a specific subset of classical quasi-cyclic codes. The codes are defined using a pair of integers $(r,s)$ and have para...
Ambiguity Clustering: an accurate and efficient decoder for qLDPC codes
Stasiu Wolanski, Ben Barber·Jun 20, 2024
Error correction allows a quantum computer to preserve states long beyond the decoherence time of its physical qubits. Key to any scheme of error correction is the decoding algorithm, which estimates the error state of qubits from the results of synd...
Quantum extreme learning of molecular potential energy surfaces and force fields
Gabriele Lo Monaco, Marco Bertini, Salvatore Lorenzo +1 more·Jun 20, 2024
Quantum machine learning algorithms are expected to play a pivotal role in quantum chemistry simulations in the immediate future. One such key application is the training of a quantum neural network to learn the potential energy surface and force fie...
Gate Teleportation in Noisy Quantum Networks with the SquidASM Simulator
Valter Uotila·Jun 19, 2024
We implement the gate teleportation algorithm for teleporting arbitrary two-qubit Clifford gates and the Toffoli gate within the context of multi-node quantum networks, utilizing the SquidASM quantum network simulator. We show how a gate teleportatio...
New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography
Matthew John Cossins, Sendy Phang·Jun 18, 2024
The aim of this project was to develop a new Reservoir Computer implementation, based on a chaotic Chua circuit. In addition to suitable classification and regression benchmarks, the Reservoir Computer was applied to Post-Quantum Cryptography, with i...
Simulating spin biology using a digital quantum computer: Prospects on a near-term quantum hardware emulator
Pedro Alvarez, Farhan Tanvir Chowdhury, Luke D. Smith +4 more·Jun 18, 2024
Understanding the intricate quantum spin dynamics of radical pair reactions is crucial for unraveling the underlying nature of chemical processes across diverse scientific domains. In this work, we leverage Trotterization to map coherent radical pair...
A quantum algorithm to simulate Lindblad master equations
E. Borras, M. Marvian·Jun 18, 2024
We present a quantum algorithm for simulating a family of Markovian master equations that can be realized through a probabilistic application of unitary channels and state preparation. Our approach employs a second-order product formula for the Lindb...
Simulating nonlinear optical processes on a superconducting quantum device
Yuan Shi, B. Evert, Amy F. Brown +8 more·Jun 18, 2024
Simulating plasma physics on quantum computers is difficult because most problems of interest are nonlinear, but quantum computers are not naturally suitable for nonlinear operations. In weakly nonlinear regimes, plasma problems can be modelled as wa...
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
Enrico Russo, M. Palesi, Davide Patti +2 more·Jun 17, 2024
Modular, distributed and multi-core architectures are currently considered a promising approach for scalability of quantum computing systems. The integration of multiple Quantum Processing Units necessitates classical and quantum-coherent communicati...
Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor
I. Zalivako, A. I. Gircha, E. Kiktenko +14 more·Jun 17, 2024
Here we present the results of benchmarking a quantum processor based on trapped $^{171}$Yb$^{+}$ ions by performing basic quantum machine learning algorithms. Using a quantum-enhanced support vector machine algorithm with up to five qubits we perfor...
Phases and phase transition in Grover's algorithm with systematic noise
Sasanka Dowarah, Chuanwei Zhang, V. Khemani +1 more·Jun 14, 2024
While limitations on quantum computation by Markovian environmental noise are well-understood in generality, their behavior for different quantum circuits and noise realizations can be less universal. Here we consider a canonical quantum algorithm - ...
Impact of measurement noise on escaping saddles in variational quantum algorithms
Eriko Kaminishi, Takashi Mori, M. Sugawara +1 more·Jun 14, 2024
Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE). In VQE implementations on quantum hardware, measurement shot noise is inevitable. We analyze how th...