Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum algorithms for state preparation and data classification based on stabilizer codes
P. Jouzdani, H. A. Hashim, E. Mucciolo·Sep 18, 2023
Quantum error correction (QEC) is a way to protect quantum information against noise. It consists of encoding input information into entangled quantum states known as the code space. Furthermore, to classify if the encoded information is corrupted or...
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 ...
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 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...
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...
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 ...
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...
Mitigating controller noise in quantum gates using optimal control theory
Aviv Aroch, R. Kosloff, S. Kallush·Sep 14, 2023
All quantum systems are subject to noise from the environment or external controls. This noise is a major obstacle to the realization of quantum technology. For example, noise limits the fidelity of quantum gates. Employing optimal control theory, we...
Overhead-constrained circuit knitting for variational quantum dynamics
G. Gentinetta, Friederike Metz, Giuseppe Carleo·Sep 14, 2023
Simulating the dynamics of large quantum systems is a formidable yet vital pursuit for obtaining a deeper understanding of quantum mechanical phenomena. While quantum computers hold great promise for speeding up such simulations, their practical appl...
Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration
Zhi-Yuan Hu, Robert Wolle, Mingzhen Tian +3 more·Sep 12, 2023
In the near-term noisy intermediate-scale quantum (NISQ) era, high noise will significantly reduce the fidelity of quantum computing. What's worse, recent works reveal that the noise on quantum devices is not stable, that is, the noise is dynamically...
Distributed Scheduling of Quantum Circuits with Noise and Time Optimization
Debasmita Bhoumik, Ritajit Majumdar, A. Saha +1 more·Sep 12, 2023
Quantum computers are currently noisy, particularly without error correction and fault tolerance. Methods like error suppression and mitigation are widely used to improve performance. Circuit cutting, which partitions a circuit into smaller subcircui...
Quantum algorithms for the simulation of perturbative QCD processes
Herschel A. Chawdhry, M. Pellen·Sep 12, 2023
Quantum computers are expected to give major speed-ups for the simulation of quantum systems. In these conference proceedings, we discuss quantum algorithms for the simulation of perturbative Quantum Chromodynamics (QCD) processes. In particular, we ...
A Review of the Applications of Quantum Machine Learning in Optical Communication Systems
Ark Modi, Alonso Viladomat Jasso, R. Ferrara +4 more·Sep 11, 2023
In the context of optical signal processing, quantum and quantum-inspired machine learning algorithms have massive potential for deployment. One of the applications is in error correction protocols for the received noisy signals. In some scenarios, n...
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
A. Gomez, T. Patti, Anima Anandkumar +1 more·Sep 11, 2023
Distributed quantum computation is often proposed to increase the scalability of quantum hardware, as it reduces cooperative noise and requisite connectivity by sharing quantum information between distant quantum devices. However, such exchange of qu...
Solving Systems of Linear Equations: HHL from a Tensor Networks Perspective
Alejandro Mata Ali, Iñigo Pérez Delgado, Marina Ristol Roura +2 more·Sep 11, 2023
This work presents a new approach for simulating the HHL linear systems of equations solver algorithm with tensor networks. First, a novel HHL in the qudits formalism, the generalization of qubits, is developed, and then its operations are transforme...
A real-time, scalable, fast and resource-efficient decoder for a quantum computer
Ben Barber, Kenton M. Barnes, Tomasz Bialas +10 more·Sep 11, 2023
The development of quantum computers will require the careful management of the noise effects associated with qubit performance. However, the decoders responsible for diagnosing noise-induced computational errors must use resources efficiently to ena...
Low-noise amplifier cryogenic testbed validation in a TaaS (Testing-as-a-Service) framework
Brandon Boiko, E. Zhang, Doug Jorgesen +3 more·Sep 7, 2023
As quantum computers based on superconducting qubit processors scale, cryogenic microwave components in the qubit control and readout chain must be appropriately tested and qualified to ensure consistent and high-fidelity quantum computation. However...
Nishimori transition across the error threshold for constant-depth quantum circuits
Edward H. Chen, Guo-Yi Zhu, R. Verresen +9 more·Sep 6, 2023
Quantum computing involves the preparation of entangled states across many qubits. This requires efficient preparation protocols that are stable to noise and gate imperfections. Here we demonstrate the generation of the simplest long-range order—Isin...
Quantum circuit distillation and compression
S. Daimon, Kakeru Tsunekawa, Ryoto Takeuchi +3 more·Sep 5, 2023
Quantum coherence in a qubit is vulnerable to environmental noise. When long quantum calculation is run on a quantum processor without error correction, the noise causes fatal errors and messes up the calculation. Here, we propose quantum-circuit dis...
Superexchange coupling of donor qubits in silicon
M. M. Munia, S. Monir, E. N. Osika +2 more·Sep 1, 2023
Atomic engineering in a solid-state material has the potential to functionalize the host with novel phenomena. STM-based lithographic techniques have enabled the placement of individual phosphorus atoms at selective lattice sites of silicon with atom...