Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Conditional Born machine for Monte Carlo events generation
Oriel Kiss, M. Grossi, E. Kajomovitz +1 more·May 16, 2022
Generative modeling is a promising task for near-term quantum devices, which can use the stochastic nature of quantum measurements as a random source. So called Born machines are purely quantum models and promise to generate probability distributions...
Addressable superconductor integrated circuit memory from delay lines
Jennifer Volk, A. Wynn, Evan Golden +2 more·May 16, 2022
Recent advances in logic schemes and fabrication processes have renewed interest in using superconductor electronics for energy-efficient computing and quantum control processors. However, scalable superconducting memory still poses a challenge. To a...
A hybrid classical-quantum approach to speed-up Q-learning
A. Sannia, A. Giordano, N. L. Gullo +2 more·May 16, 2022
We introduce a classical-quantum hybrid approach to computation, allowing for a quadratic performance improvement in the decision process of a learning agent. Using the paradigm of quantum accelerators, we introduce a routine that runs on a quantum c...
Multi-state Swap Test Algorithm
Wen Liu, Han-Wen Yin, Zhirao Wang +1 more·May 15, 2022
. Estimating the overlap between two states is an important task with several applications in quantum information. However, the typical swap test circuit can only measure a sole pair of quantum states at a time. In this study we designed a recursive ...
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning
B. Fang, M. Özkaya, A. Li +2 more·May 14, 2022
Early but promising results in quantum computing have been enabled by the concurrent development of quan-tum algorithms, devices, and materials. Classical simulation of quantum programs has enabled the design and analysis of algorithms and implementa...
Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems
T. Tsuchimochi, Masaki Taii, Taisei Nishimaki +1 more·May 14, 2022
Quantum computing is a promising approach to harnessing strong correlation in molecular systems; however, current devices only allow for hybrid quantum-classical algorithms with a shallow circuit depth, such as the variational quantum eigensolver (VQ...
Fidelity Overhead for Nonlocal Measurements in Variational Quantum Algorithms.
Zachary Pierce Bansingh, Tzu-Ching Yen, Peter D. Johnson +1 more·May 14, 2022
Measuring quantum observables by grouping terms that can be rotated to sums of only products of Pauli ẑ operators (Ising form) is proven to be efficient in near term quantum computing algorithms. This approach requires extra unitary transformations t...
Entanglement and quantum correlation measures for quantum multipartite mixed states
Arthur Vesperini, Ghofrane Bel-Hadj-Aissa, R. Franzosi·May 14, 2022
Entanglement, and quantum correlation, are precious resources for quantum technologies implementation based on quantum information science, such as quantum communication, quantum computing, and quantum interferometry. Nevertheless, to our best knowle...
A Scalable Microarchitecture for Efficient Instruction-Driven Signal Synthesis and Coherent Qubit Control
N. Khammassi, R. Morris, S. Premaratne +7 more·May 13, 2022
Execution of quantum algorithms requires a quantum computer architecture with a dedicated quantum instruction set that is capable of supporting translation of workloads into actual quantum operations acting on the qubits. State-of-the-art qubit contr...
Analysis of the Vehicle Routing Problem Solved via Hybrid Quantum Algorithms in the Presence of Noisy Channels
Nishikanta Mohanty, B. K. Behera, C. Ferrie·May 13, 2022
The vehicle routing problem (VRP) is an NP-hard optimization problem that has been an interest of research for decades in science and industry. The objective is to plan routes of vehicles to deliver goods to a fixed number of customers with optimal e...
The QAOA with Few Measurements
A. Polloreno, Graeme Smith·May 13, 2022
The Quantum Approximate Optimization Algorithm (QAOA) was originally developed to solve combinatorial optimization problems, but has become a standard for assessing the performance of quantum computers. Fully descriptive benchmarking techniques are o...
Learning quantum graph states with product measurements
Yingkai Ouyang, M. Tomamichel·May 13, 2022
We consider the problem of learning N identical copies of an unknown n-qubit quantum graph state with product measurements. These graph states have corresponding graphs where every vertex has exactly d neighboring vertices. Here, we detail an explici...
Forward-backward stochastic simulations: Q-based model for measurement and Bell-nonlocality consistent with weak local realistic premises
M D Reid, P D Drummond·May 12, 2022
We show how measurement and nonlocality can be explained consistently with macroscopic realism and no-signaling, and causal relations for macroscopic quantities. Considering measurement of a field amplitude $\hat{x}$, we derive theorems that lead to ...
Scheduling Quantum Teleportation with Noisy Memories
Aparimit Chandra, W. Dai, D. Towsley·May 12, 2022
Quantum teleportation channels can overcome the effects of photonic loss, a major challenge in the implementation of a quantum network over fiber. Teleportation channels are created by distributing an entangled state between two nodes, which is a pro...
Quantum computing and preconditioners for hydrological linear systems
John K. Golden, Daniel O’Malley, H. Viswanathan·May 12, 2022
Modeling hydrological fracture networks is a hallmark challenge in computational earth sciences. Accurately predicting critical features of fracture systems, e.g. percolation, can require solving large linear systems far beyond current or future high...
Cutting Quantum Circuits to Run on Quantum and Classical Platforms
Wei Tang, M. Martonosi·May 12, 2022
Quantum computing (QC) offers a new computing paradigm that has the potential to provide significant speedups over classical computing. Each additional qubit doubles the size of the computational state space available to a quantum algorithm. Such expo...
Stabilizer Inactivation for Message-Passing Decoding of Quantum LDPC Codes
Julien du Crest, M. Mhalla, V. Savin·May 12, 2022
We propose a post-processing method for message-passing (MP) decoding of CSS quantum LDPC codes, called stabilizer-inactivation (SI). It relies on inactivating a set of qubits, supporting a check in the dual code, and then running the MP decoding aga...
Faster quantum mixing of Markov chains in non-regular graph with fewer qubits
Xinyin Li, Yun Shang·May 12, 2022
Sampling from the stationary distribution is one of the fundamental tasks of Markov chain-based algorithms and has important applications in machine learning, combinatorial optimization and network science. For the quantum case, qsampling from Markov...
Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification
Koichi Miyamoto, G. Morrás, Takahiro Yamamoto +2 more·May 12, 2022
The speedup of heavy numerical tasks by quantum computing is now actively investigated in various fields including data analysis in physics and astronomy. In this paper, we propose a new quantum algorithm for matched filtering in gravitational wave (...
Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle
Z. M. Rossi, I. Chuang·May 12, 2022
Recent work shows that quantum signal processing (QSP) and its multi-qubit lifted version, quantum singular value transformation (QSVT), unify and improve the presentation of most quantum algorithms. QSP/QSVT characterize the ability, by alternating ...