Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Efficient particle-conserving brick-wall quantum circuits
Babatunde M. Ayeni·Jun 17, 2024
In variational quantum optimization with particle-conserving quantum circuits, it is often difficult to decide a priori which particle-conserving gates and circuit ansatzes would be most efficient for a given problem. This is important especially for...
Exploring Gamification in Quantum Computing: The Qubit Factory
Glen Evenbly·Jun 17, 2024
Gamification of quantum theory can provide new inroads into the subject: by allowing users to experience simulated worlds that manifest obvious quantum behaviors they can potentially build intuition for quantum phenomena. The Qubit Factory is an engi...
A Representative Framework for Implementing Quantum Finite Automata on Real Devices
A. Khadieva, Özlem Salehi, A. Yakaryılmaz·Jun 17, 2024
We present a framework for the implementation of quantum finite automata algorithms designed for the language $ MOD_p = \{ a^{i\cdot p } \mid i \geq 0 \}$ on gate-based quantum computers. First, we compile the known theoretical results from the liter...
High-entanglement capabilities for variational quantum algorithms: the Poisson equation case
F. Ayoub, J. Baeder·Jun 14, 2024
The discretized Poisson equation matrix (DPEM) in 1D has been shown to require an exponentially large number of terms when decomposed in the Pauli basis when solving numerical linear algebra problems on a quantum computer. Additionally, traditional a...
Fast and Accurate Greenberger-Horne-Zeilinger Encoding Using All-to-All Interactions.
Chao Yin·Jun 14, 2024
The N-qubit Greenberger-Horne-Zeilinger (GHZ) state is an important resource for quantum technologies. We consider the task of GHZ encoding using all-to-all interactions, which prepares the GHZ state in a special case, and is furthermore useful for q...
Hyperdimensional Quantum Factorization
Prathyush P. Poduval, Zhuowen Zou, Alvaro Velasquez +1 more·Jun 13, 2024
This paper presents a quantum algorithm for efficiently decoding hypervectors, a crucial process in extracting atomic elements from hypervectors - an essential task in Hyperdimensional Computing (HDC) models for interpretable learning and information...
Polynomial Reduction Methods and their Impact on QAOA Circuits
Lukas Schmidbauer, Karen Wintersperger, Elisabeth Lobe +1 more·Jun 13, 2024
Abstraction layers are of paramount importance in software architecture, as they shield the higher-level formulation of payload computations from lower-level details. Since quantum computing (QC) introduces many such details that are often unaccustom...
Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations
Pavel Tashev, Stefan Petrov, Friederike Metz +1 more·Jun 12, 2024
Using partial knowledge of a quantum state to control multiqubit entanglement is a largely unexplored paradigm in the emerging field of quantum interactive dynamics with the potential to address outstanding challenges in quantum state preparation and...
Suppressing Counter-Rotating Errors for Fast Single-Qubit Gates with Fluxonium
D. A. Rower, L. Ding, Helin Zhang +12 more·Jun 12, 2024
Qubit decoherence unavoidably degrades the fidelity of quantum logic gates. Accordingly, realizing gates that are as fast as possible is a guiding principle for qubit control, necessitating protocols for mitigating error channels that become signific...
Gate-based counterdiabatic driving with complexity guarantees
Dyon van Vreumingen·Jun 12, 2024
We propose a general, fully gate-based quantum algorithm for counterdiabatic driving. The algorithm does not depend on heuristics as in previous variational methods, and exploits regularisation of the adiabatic gauge potential to suppress only the tr...
Meta-learning assisted robust control of universal quantum gates with uncertainties
Shihui Zhang, Z. Miao, Yu Pan +2 more·Jun 11, 2024
Achieving high-fidelity quantum gates is crucial for reliable quantum computing. However, decoherence and control pulse imperfections pose significant challenges in realizing the theoretical fidelity of quantum gates in practical systems. To address ...
Novel Optimized Designs of Modulo 2n+1 Adder for Quantum Computing
Bhaskar Gaur, Himanshu Thapliyal·Jun 11, 2024
Quantum modular adders are one of the most fundamental yet versatile quantum computation operations. They help implement the functions of higher complexity, such as subtraction and multiplication, which are used in applications, such as quantum crypt...
Detailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations
John Penuel, Amara Katabarwa, Peter D. Johnson +5 more·Jun 10, 2024
This study examines the potential for fault-tolerant quantum computers to provide utility in fluid dynamics simulations, with a focus on drag force calculations for ship hull design. We assess whether quantum algorithms can surpass classical computat...
Learning effective Hamiltonians for adaptive time-evolution quantum algorithms
Hongzheng Zhao, Ao Chen, Shu-Wei Liu +3 more·Jun 10, 2024
Digital quantum simulation of many-body dynamics relies on Trotterization to decompose the target time evolution into elementary quantum gates operating at a fixed equidistant time discretization. Recent advances have outlined protocols enabling more...
Comparative Study of Quantum Transpilers: Evaluating the Performance of Qiskit-Braket-Provider, qBraid-SDK, and Pytket Extensions
Mohamed Messaoud Louamri, N. Belaloui, Abdellah Tounsi +1 more·Jun 10, 2024
In this study, we present a comprehensive evaluation of popular SDK-to-SDK quantum transpilers (that is transpilers that takes a quantum circuit from an initial SDK and output a quantum circuit in another SDK), focusing on critical metrics such as co...
Variational Quantum Circuit Decoupling.
Ximing Wang, Chengran Yang, Mile Gu·Jun 9, 2024
Decoupling systems into independently evolving components has a long history of simplifying seemingly complex systems. They enable a better understanding of the underlying dynamics and causal structures while providing more efficient means to simulat...
A modular entanglement-based quantum computer architecture
Ferran Riera-Sàbat, W. Dür·Jun 9, 2024
We propose a modular quantum computation architecture based on utilizing multipartite entanglement. Each module consists of a small-scale quantum computer comprising data, memory and entangling qubits. Entangling qubits are used to selectively couple...
Optimizing Gate Decomposition for High-Level Quantum Programming
E. Rosa, E. I. Duzzioni, R. Santiago·Jun 8, 2024
This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting U(2) gates as SU(2) gates, utilizing one auxiliary qubit for phase corre...
Reliable Quantum Memories with Unreliable Components
A. K. Nayak, Eric Chitambar, L. Varshney·Jun 8, 2024
Quantum memory systems are vital in quantum information processing for dependable storage and retrieval of quantum states. Inspired by classical reliability theories that synthesize reliable computing systems from unreliable components, we formalize ...
Quantum state preparation for a velocity field based on the spherical Clebsch wave function
Hao Su, Shiying Xiong, Yue Yang·Jun 7, 2024
We propose a method for preparing the quantum state for a given velocity field, e.g., in fluid dynamics, via the spherical Clebsch wave function (SCWF). Using the pointwise normalization constraint for the SCWF, we develop a variational ansatz compri...