Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Creating and controlling global Greenberger-Horne-Zeilinger entanglement on quantum processors
Ze-Han Bao, Shibo Xu, Zixuan Song +30 more·Jan 16, 2024
Greenberger-Horne-Zeilinger (GHZ) states, also known as two-component Schrödinger cats, play vital roles in the foundation of quantum physics and the potential quantum applications. Enlargement in size and coherent control of GHZ states are both cruc...
Success probabilities in time-reversal-based hybrid quantum state transfer
Kevin Randles, S. J. van Enk·Jan 16, 2024
We consider two memory nodes of a quantum network connected by flying qubits. We are particularly interested in the case where a flying qubit produced by one node has to be transformed before it can interface efficiently with the next node. Such tran...
Error-correctable efficient quantum homomorphic encryption using Calderbank–Shor–Steane codes
Ilkwon Sohn, Boseon Kim, Kwang-il Bae +2 more·Jan 16, 2024
The integration of quantum error correction codes and homomorphic encryption schemes is essential for achieving fault-tolerant secure cloud quantum computing. However, owing to the significant overheads associated with these schemes, their efficiency...
Three classes of propagation rules for generalized Reed-Solomon codes and their applications to EAQECCs
Ruhao Wan, Shixin Zhu·Jan 16, 2024
In this paper, we study the Hermitian hulls of generalized Reed-Solomon (GRS) codes over finite fields. For a given class of GRS codes, by extending the length, increasing the dimension, and extending the length and increasing the dimension at the sa...
Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding
J. Leng, Joseph Li, Yuxiang Peng +1 more·Jan 16, 2024
Many promising quantum applications depend on the efficient quantum simulation of an exponentially large sparse Hamiltonian, a task known as sparse Hamiltonian simulation, which is fundamentally important in quantum computation. Although several theo...
On the Instance Dependence of Optimal Parameters for the Quantum Approximate Optimisation Algorithm: Insights via Instance Space Analysis
Vivek Katial, Kate Smith-Miles, Charles Hill·Jan 16, 2024
The performance of the Quantum Approximate Optimisation Algorithm (QAOA) relies on the setting of optimal parameters in each layer of the circuit. This is no trivial task, and much literature has focused on the challenge of finding optimal parameters...
How to Design a Classically Difficult Random Quantum Circuit for Quantum Computational Advantage Experiments
He-Liang Huang, You-Wei Zhao, Chu Guo·Jan 16, 2024
Quantum computational advantage is a critical milestone for near-term quantum technologies and an essential step towards building practical quantum computers. Recent successful demonstrations of quantum computational advantage owe much to specificall...
On Quantum Natural Policy Gradients
A. Sequeira, Luís Paulo Santos, L. Barbosa·Jan 16, 2024
This article delves into the role of the quantum Fisher information matrix (FIM) in enhancing the performance of parameterized quantum circuit (PQC)-based reinforcement learning agents. While previous studies have highlighted the effectiveness of PQC...
Weaving the (AdS) spaces with partial entanglement entropy threads
Jiong Lin, Yizhou Lu, Qiang Wen +1 more·Jan 15, 2024
In the context of the AdS/CFT correspondence, we propose a general scheme for reconstructing bulk geometric quantities in a static pure AdS background using the partial entanglement entropy (PEE), a measure of the entanglement structure on the bounda...
Parent Hamiltonian for fully augmented matrix product states
Xiangjian Qian, Mingpu Qin·Jan 15, 2024
Density matrix renormalization group (DMRG) or matrix product states (MPS) is the most effective and accurate method for studying one-dimensional quantum many-body systems. However, the application of DMRG to two-dimensional systems is not as success...
Quadratic Speed-up in Infinite Variance Quantum Monte Carlo
Jose H. Blanchet, Mario Szegedy, Guanyang Wang·Jan 15, 2024
In this study, we give an extension of Montanaro's arXiv/archive:1504.06987 quantum Monte Carlo method, tailored for computing expected values of random variables that exhibit infinite variance. This addresses a challenge in analyzing heavy-tailed di...
Effective detection of quantum discord by using convolutional neural networks
Narjes Taghadomi, A. Mani, Ali Fahim +2 more·Jan 15, 2024
Quantum discord represents a type of correlation defined as the difference between quantum and classical mutual information of two parties. Due to the optimization involved in the definition of classical mutual information of quantum systems, calcula...
Small Quantum Codes from Algebraic Extensions of Generalized Bicycle Codes
Nikolaos Koukoulekidis, IV FedorSimkovic, Martin Leib +1 more·Jan 15, 2024
Quantum error correction is rapidly seeing first experimental implementations, but there is a significant gap between asymptotically optimal error-correcting codes and codes that are experimentally feasible. Quantum LDPC codes range from the surface ...
QISS: Quantum Industrial Shift Scheduling Algorithm
Anna M. Krol, Marvin Erdmann, R. Mishra +5 more·Jan 15, 2024
In this paper, we show the design and implementation of a quantum algorithm for industrial shift scheduling (QISS), which uses Grover's adaptive search to tackle a common and important class of valuable, real-world combinatorial optimization problems...
Quantum transfer learning for acceptability judgements
G. Buonaiuto, Raffaele Guarasci, Aniello Minutolo +2 more·Jan 15, 2024
Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural language processing tasks, particularly classification-related ones. Among the possibilities currently investigated, quantum transfer learning, i.e., using ...
Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem
P. Singkanipa, V. Kasatkin, Z. Zhou +2 more·Jan 15, 2024
Simon’s problem is to find a hidden period (a bitstring) encoded into an unknown 2-to-1 function. It is one of the earliest problems for which an exponential quantum speedup was proven for ideal, noiseless quantum computers, albeit in the oracle mode...
Scaling Advantage in Approximate Optimization with Quantum Annealing.
H. Bauza, Daniel A. Lidar·Jan 14, 2024
Quantum annealing is a heuristic optimization algorithm that exploits quantum evolution to find low-energy states. Quantum annealers have scaled up in recent years to tackle increasingly larger and more highly connected discrete optimization and quan...
Quantum information processing with superconducting circuits: realizing and characterizing quantum gates and algorithms in open quantum systems
H. Sakhouf·Jan 14, 2024
This thesis focuses on quantum information processing using the superconducting device, especially, on realizing quantum gates and algorithms in open quantum systems. Such a device is constructed by transmon-type superconducting qubits coupled to a s...
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
Michael Kolle, Tom Schubert, Philipp Altmann +3 more·Jan 13, 2024
With recent advancements in quantum computing technology, optimizing quantum circuits and ensuring reliable quantum state preparation have become increasingly vital. Traditional methods often demand extensive expertise and manual calculations, posing...
Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation
Minrui Xu, D. Niyato, Jiawen Kang +5 more·Jan 13, 2024
Quantum computing networks enable scalable collaboration and secure information exchange among multiple classical and quantum computing nodes while executing large-scale generative AI computation tasks and advanced quantum algorithms. Quantum computi...