Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication
Neha Sharma, Vikas Saxena·Jan 17, 2024
Quantum cryptography is the study of delivering secret communications across a quantum channel. Recently, Quantum Key Distribution (QKD) has been recognized as the most important breakthrough in quantum cryptography. This process facilitates two dist...
LDPC-cat codes for low-overhead quantum computing in 2D
Diego Ruiz, Jérémie Guillaud, Anthony Leverrier +2 more·Jan 17, 2024
The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. Correcting these errors requires a large number of additional qubits. Two main avenues to reduce this overhead are (i) low-density parity c...
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas Borges, T. Patti +4 more·Jan 17, 2024
Quantum computers hold the promise of more efficient combinatorial optimization solvers, which could be game-changing for a broad range of applications. However, a bottleneck for materializing such advantages is that, in order to challenge classical ...
Scouring Parrondo's paradox in discrete-time quantum walks
G. Kadiri·Jan 17, 2024
We propose a quantum game based on coin-based quantum walks. Given a quantum walk and a Hermitian operator on the coin-position composite space, winning this game involves choosing an initial coin state such that the given quantum walk leads to a com...
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
Yunsoo Ha, Sara Shashaani, M. Menickelly·Jan 17, 2024
The quantum approximate optimization algorithm (QAOA) has enjoyed increasing attention in noisy, intermediate-scale quantum computing with its application to combinatorial optimization problems. QAOA has the potential to demonstrate a quantum advanta...
Synthesizing Toffoli-optimal quantum circuits for arbitrary multi-qubit unitaries
Priyanka Mukhopadhyay·Jan 17, 2024
In this paper we study the Clifford+Toffoli universal fault-tolerant gate set. We introduce a generating set in order to represent any unitary implementable by this gate set and with this we derive a bound on the Toffoli-count of arbitrary multi-qubi...
Elivagar: Efficient Quantum Circuit Search for Classification
Sashwat Anagolum, Narges Alavisamani, Poulami Das +2 more·Jan 17, 2024
Designing performant and noise-robust circuits for Quantum Machine Learning (QML) is challenging --- the design space scales exponentially with circuit size, and there are few well-supported guiding principles for QML circuit design. Although recent ...
Benchmarking quantum computer simulation software packages
Amit Jamadagni, A. Läuchli, Cornelius Hempel·Jan 17, 2024
Rapid advances in quantum computing technology lead to an increasing need for software simulators that enable both algorithm design and the validation of results obtained from quantum hardware. This includes calculations that aim at probing regimes o...
Symmetry breaking in geometric quantum machine learning in the presence of noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3 more·Jan 17, 2024
Geometric quantum machine learning based on equivariant quantum neural networks (EQNNs) recently appeared as a promising direction in quantum machine learning. Despite encouraging progress, studies are still limited to theory, and the role of hardwar...
Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project
A. Khan, Muhammad Azeem Akbar, V. Lahtinen +1 more·Jan 16, 2024
Quantum software systems represent a new realm in software engineering, utilizing quantum bits (Qubits) and quantum gates (Qgates) to solve the complex problems more efficiently than classical counterparts. Agile software development approaches are c...
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...