Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,326 papers in 12 months (-9% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Resource Estimation of Quantum Multiplication Algorithms
Ethan Hansen, Sanskriti Joshi, Hannah Rarick·Sep 17, 2023
As quantum computers progress towards a larger scale, it is imperative that the “top” of the computing-technology stack is improved. This project investigates the quantum resources required to compute primitive arithmetic algorithms, particularly mul...
Transversal Injection: Using the Surface Code to Prepare Non-Pauli Eigenstates
J. Gavriel, Daniel Herr, Alexis Shaw +3 more·Sep 17, 2023
The development of quantum computing systems for large scale algorithms requires targeted error rates un-achievable through hardware advancements alone. Quantum Error Correction (QEC) allows us to use systems with a large number of physical qubits to...
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images
Su Yeon Chang, M. Grossi, B. L. Saux +1 more·Sep 17, 2023
Quantum Neural Networks (QNNs) are suggested as one of the quantum algorithms which can be efficiently simulated with a low depth on near-term quantum hardware in the presence of noises. However, their performance highly relies on choosing the most s...
Experimental Demonstration of Fermionic QAOA with One-Dimensional Cyclic Driver Hamiltonian
Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1 more·Sep 17, 2023
Quantum approximate optimization algorithm (QAOA) has attracted much attention as an algorithm that has the potential to efficiently solve combinatorial optimization problems. Among them, a fermionic QAOA (FQAOA) for solving constrained optimization ...
Optimal number-conserved linear encoding for practical fermionic simulation
M. H. Cheng, Yu-Cheng Chen, Qian Wang +5 more·Sep 17, 2023
Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for M modes and N particles with O(NlogM) qubits have remained unknown. We study qubit-gate-measurement trade-offs through t...
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques
M. Davis, Joaquín Chung, Dirk R. Englund +1 more·Sep 17, 2023
Distributed quantum computing is motivated by the difficulty in building large-scale, individual quantum computers. To solve that problem, a large quantum circuit is partitioned and distributed to small quantum computers for execution. Partitions run...
"Smoking gun"signatures of topological milestones in trivial materials by measurement fine-tuning and data postselection
S. M. Frolov, P. Zhang, B. Zhang +9 more·Sep 17, 2023
Exploring the topology of electronic bands is a way to realize new states of matter with possible implications for information technology. Because bands cannot always be observed directly, a central question is how to tell that a topological regime h...
Quantum Circuit Optimization through Iteratively Pre-Conditioned Gradient Descent
Dhruv Srinivasan, Kushal Chakrabarti, Nikhil Chopra +1 more·Sep 17, 2023
Gate-based quantum algorithms are typically implemented by circuits consisting of many single-qubit and multi-qubit gates operating on a quantum input state, followed by measurements of the output state. For certain quantum subroutines, such as initi...
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms
P. Radanliev, D. D. Roure, Omar Santos·Sep 17, 2023
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing unprecedented opportunities and potential vulnerabilities.This research, conducted over five years, delves i...
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun, Yunpu Ma, Volker Tresp·Sep 17, 2023
Differentiable quantum architecture search (DQAS) is a gradient-based framework to design quantum circuits automatically in the NISQ era. It was motivated by such as low fidelity of quantum hardware, low flexibility of circuit architecture, high circ...
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans
Leo Sünkel, Darya Martyniuk, Julia J. Reichwald +5 more·Sep 17, 2023
Practical quantum computing (QC) is still in its in-fancy and problems considered are usually fairly small, especially in quantum machine learning when compared to its classical counterpart. Image processing applications in particular require models ...
Optimistic Entanglement Purification in Quantum Networks
Mohammad Mobayenjarihani, Gayane Vardoyan, Donald F. Towsley·Sep 17, 2023
Noise and photon loss encountered on quantum channels pose a major challenge for reliable entanglement generation in quantum networks. In near-term networks, heralding is required to inform endpoints of successfully generated entanglement. If after h...
Quantum Simulations for Carbon Capture on Metal-Organic Frameworks
Gopal Ramesh Dahale·Sep 17, 2023
Direct air capture of Carbon Dioxide is a technical solution that does not rely on natural processes to capture CO2 from the atmosphere. In DAC, the filter material is designed to specifically bind CO2 molecules. Hence a high-capacity filter is sough...
Computational capabilities and compiler development for neutral atom quantum processors—connecting tool developers and hardware experts
Ludwig Schmid, David F. Locher, M. Rispler +4 more·Sep 15, 2023
Neutral Atom Quantum Computing (NAQC) emerges as a promising hardware platform primarily due to its long coherence times and scalability. Additionally, NAQC offers computational advantages encompassing potential long-range connectivity, native multi-...
Quantum Machine Learning in the Cognitive Domain: Alzheimer's Disease Study
Emine Akpinar·Sep 15, 2023
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, primarily affecting the elderly population and leading to significant cognitive decline. This decline manifests in various mental faculties such as attention, memory, and high...
Physics of the Majorana superconducting qubit hybrids
D. Karki, K. A. Matveev, Ivar Martin·Sep 15, 2023
Manipulation of decoupled Majorana zero modes (MZMs) could enable topologically-protected quantum computing. However, the practical realization of a large number of perfectly decoupled MZMs needed to perform nontrivial quantum computation has proven ...
Implementing fault-tolerant non-Clifford gates using the [[8,3,2]] color code
Daniel Honciuc Menendez, A. Ray, M. Vasmer·Sep 15, 2023
Quantum computers promise to solve problems that are intractable for classical computers, but qubits are vulnerable to many sources of error, limiting the depth of the circuits that can be reliably executed on today's quantum hardware. Quantum error ...
S-QGPU: Shared quantum gate processing unit for distributed quantum computing
Shengwang Du, Yufei Ding, Chunming Qiao·Sep 15, 2023
We propose a distributed quantum computing (DQC) architecture in which individual small-sized quantum computers are connected to a shared quantum gate processing unit (S-QGPU). The S-QGPU comprises a collection of hybrid two-qubit gate modules for re...
Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems
T. Shirai, N. Togawa·Sep 15, 2023
In this article, we propose a postprocessing variationally scheduled quantum algorithm (pVSQA) for solving constrained combinatorial optimization problems (COPs). COPs are typically transformed into ground-state search problems of the Ising model on ...
Benchmarking machine learning models for quantum state classification
Edoardo Pedicillo, Andrea Pasquale, S. Carrazza·Sep 14, 2023
Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful calibration, composed by different experiments, due to noise and decoheren...