Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Fault-tolerant quantum input/output
Matthias Christandl, Omar Fawzi, Ashutosh Goswami·Aug 9, 2024
Usual scenarios of fault-tolerant computation are concerned with the fault-tolerant realization of quantum algorithms that compute classical functions, such as Shor's algorithm for factoring. In particular, this means that input and output to the qua...
Passive error correction with a qubit-oscillator system in noisy environment
Yanzhang Zhu, Myung-Joong Hwang·Aug 9, 2024
In this paper, we study an open quantum system consisting of a qubit coupled to a harmonic oscillator subject to two-photon relaxation and demonstrate that such a system can be utilized to construct a cat qubit capable of passive error correction. To...
Optimizing Pulse Shapes of an Echoed Conditional Displacement Gate in a Superconducting Bosonic System
Maxime Lapointe-Major, Yongchao Tang, M. Canturk +1 more·Aug 9, 2024
Echoed conditional displacement (ECD) gates for bosonic systems have become the key element for real-time quantum error correction beyond the break-even point. These gates are characterized by a single complex parameter $\beta$, and can be constructe...
Concept learning of parameterized quantum models from limited measurements
Beng Yee Gan, Po-Wei Huang, Elies Gil-Fuster +1 more·Aug 9, 2024
Classical learning of the expectation values of observables for quantum states is a natural variant of learning quantum states or channels. While learning-theoretic frameworks establish the sample complexity and the number of measurement shots per sa...
Constant-time quantum search with a many-body quantum system
Benjamin DalFavero, Alexander Meill, David A. Meyer +2 more·Aug 9, 2024
The optimal runtime of a quantum computer searching a database is typically cited as the square root of the number of items in the database, which is famously achieved by Grover's algorithm. With parallel oracles, however, it is possible to search fa...
Learning symmetry-protected topological order from trapped-ion experiments
Nicolas Sadoune, Ivan Pogorelov, C. Edmunds +6 more·Aug 9, 2024
Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work, we employ a tensorial kernel support vector machine (TK-SVM) to analy...
Tensor-based quantum phase difference estimation for large-scale demonstration
Shutaroh Kanno, Kenji Sugisaki, Hajime Nakamura +5 more·Aug 9, 2024
Significance Quantum phase estimation (QPE) is a foundational algorithm for quantum chemistry, cryptanalysis, and solving linear equations, due to the potential of exponential acceleration for classical algorithms. Despite its importance, QPE has bee...
A quantum GAN for entanglement detection and image classification
J. Steck, E. Behrman·Aug 9, 2024
Machine learning can be used as a systematic method to non-algorithmically program quantum computers. Quantum machine learning enables us to perform computations without breaking down an algorithm into its gate building blocks, eliminating that diffi...
Distributed Quantum Computing for Chemical Applications
G. Jones, Hans-Arno Jacobsen·Aug 9, 2024
In recent years, interest in quantum computing has increased due to technological advances in quantum hardware and algorithms. Despite the promises of quantum advantage, the applicability of quantum devices has been limited to few qubits on hardware ...
The probabilistic world II : Quantum mechanics from classical statistics
C. Wetterich·Aug 9, 2024
This work discusses simple examples how quantum systems are obtained as subsystems of classical statistical systems. For a single qubit with arbitrary Hamiltonian and for the quantum particle in a harmonic potential we provide explicitly all steps ho...
Modeling athermal phonons in novel materials using the G4CMP simulation toolkit
Israel Hernandez, Ryan Linehan, R. Khatiwada +7 more·Aug 8, 2024
Understanding phonon and charge propagation in superconducting devices plays an important role in both performing low-threshold dark matter searches and limiting correlated errors in superconducting qubits. The Geant4 Condensed Matter Physics (G4CMP)...
Recoil-free Quantum Gates with Optical Qubits
Zhao Zhang, L. V. Damme, Marco Rossignolo +11 more·Aug 8, 2024
We propose a scheme to perform optical pulses that suppress the effect of photon recoil by three orders of magnitude compared to ordinary pulses in the Lamb-Dicke regime. We derive analytical insight about the fundamental limits to the fidelity of op...
Quantum Neural Network Training of a Repeater Node
Diego Fuentealba, Jack Dahn, J. Steck +1 more·Aug 8, 2024
The construction of robust and scalable quantum gates is a uniquely hard problem in the field of quantum computing. Real-world quantum computers suffer from many forms of noise, characterized by the decoherence and relaxation times of a quantum circu...
Role of Error Syndromes in Teleportation Scheduling
Aparimit Chandra, Filip Rozpedek, Donald F. Towsley·Aug 8, 2024
Quantum teleportation enables quantum information transmission, but requires distribution of entangled resource states. Unfortunately, decoherence, caused by environmental interference during quantum state storage, can degrade quantum states, leading...
Hybrid Scheme of Post-Quantum Cryptography and Elliptic-Curve Cryptography for Certificates ─ A Case Study of Security Credential Management System in Vehicle-to-Everything Communications
Abel C. H. Chen, Bon-Yeh Lin·Aug 8, 2024
Due to the use of elliptic curve cryptography (ECC) for the current Security Credential Management System (SCMS) in the IEEE 1609.2.1 standard, the SCMS is vulnerable to attacks from quantum computing, as ECC could be cracked by quantum algorithms. H...
Quantum algorithms for optimizers
Giacomo Nannicini·Aug 8, 2024
This is a set of lecture notes for a graduate-level course on quantum algorithms, with an emphasis on quantum optimization algorithms. It is developed for applied mathematicians and engineers, and requires no previous background in quantum mechanics....
Mostly Harmless Methods for QSP-Processing with Laurent Polynomials
S. Skelton·Aug 8, 2024
Quantum signal processing (QSP) and its extensions are increasingly popular frameworks for developing quantum algorithms. Yet QSP implementations still struggle to complete a classical pre-processing step (‘QSP-processing’) that determines the set of...
Quantum Machine Learning: Performance and Security Implications in Real-World Applications
Z. Luo, Tyler Stewart, M. Narasareddygari +2 more·Aug 8, 2024
Quantum computing has garnered significant attention in recent years from both academia and industry due to its potential to achieve a"quantum advantage"over classical computers. The advent of quantum computing introduces new challenges for security ...
Dicke states as matrix product states
David Raveh, Rafael I. Nepomechie·Aug 8, 2024
We derive an exact canonical matrix product state (MPS) representation for Dicke states $|D^n_k\rangle$ with minimal bond dimension $\chi=k+1$, for general values of $n$ and $k$, for which the W-state is the simplest case $k=1$. We use this MPS to fo...
Reducing depth and measurement weights in Pauli-based computation
Filipa C. R. Peres, Ernesto F. Galvão·Aug 7, 2024
Pauli-based computation (PBC) is a universal measurement-based quantum computation model steered by an adaptive sequence of independent and compatible Pauli measurements on separable magic-state qubits. Here, we propose several new techniques for red...