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 combinatorial optimization beyond the variational paradigm: Simple schedules for hard problems
Tim Bode, K. Ramesh, T. Stollenwerk·Nov 12, 2024
Advances in quantum algorithms suggest a tentative scaling advantage on certain combinatorial optimization problems. Recent work, however, has also reinforced the idea that barren plateaus render variational algorithms ineffective on large Hilbert sp...
Universal coarse geometry of spin systems
Ali Elokl, Corey Jones·Nov 12, 2024
The prospect of realizing highly entangled states on quantum processors with fundamentally different hardware geometries raises the question: to what extent does a state of a quantum spin system have an intrinsic geometry? In this paper, we propose t...
Classical Preoptimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications.
J. W. Mullinax, P. Anastasiou, Jeffrey Larson +2 more·Nov 12, 2024
The ADAPT-VQE algorithm is a promising method for generating a compact ansatz based on derivatives of the underlying cost function, and it yields accurate predictions of electronic energies for molecules. In this work, we report the implementation an...
A cat qubit stabilization scheme using a voltage biased Josephson junction
Thiziri Aissaoui, A. Murani, R. Lescanne +1 more·Nov 12, 2024
DC-voltage-biased Josephson junctions have been recently employed in superconducting circuits for Hamiltonian engineering, demonstrating microwave amplification, single photon sources and entangled photon generation. Compared to more conventional app...
Genuine multipartite entanglement in quantum optimization
Gopal Chandra Santra, Sudipto Singha Roy, Daniel J. Egger +1 more·Nov 12, 2024
The ability to generate bipartite entanglement in quantum computing technologies is widely regarded as pivotal. However, the role of genuinely multipartite entanglement is much less understood than bipartite entanglement, particularly in the context ...
Trapped-ion quantum simulation of the Fermi-Hubbard model as a lattice gauge theory using hardware-aware native gates
Dhruv Srinivasan, Alex Beyer, Daiwei Zhu +8 more·Nov 12, 2024
The Fermi-Hubbard model (FHM) is a simple yet rich model of strongly interacting electrons with complex dynamics and a variety of emerging quantum phases. These properties make it a compelling target for digital quantum simulation. Trotterization-bas...
Quantum homotopy analysis method with quantum-compatible linearization for nonlinear partial differential equations
Cheng Xue, Xiao-Fan Xu, Xi-Ning Zhuang +8 more·Nov 11, 2024
Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. However, solving these nonlinear PDEs is challenging due to the vast computa...
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li, Tansu Alpcan, Chandra Thapa +1 more·Nov 11, 2024
By leveraging the principles of quantum mechanics, quantum machine learning (QML) opens doors to novel approaches in machine learning (ML) and offers potential speedup. However, ML models are well documented to be vulnerable to malicious manipulation...
Quantum-Powered Optimization for Electric Vehicle Charging Infrastructure Deployment
Nazmush Sakib, Xin Chen·Nov 11, 2024
The infrastructure development of electric vehicle charging stations (EVCS) is critical to the integration of electrical vehicles (EVs) into transportation systems, which requires significant investment and has long-term impact on the adoption of EVs...
Efficient Classical Computation of Single-Qubit Marginal Measurement Probabilities to Simulate Certain Classes of Quantum Algorithms
S. Y. Pradata, ’Anin N. ’Azhiim, Hendry M. Lim +1 more·Nov 11, 2024
Classical simulations of quantum circuits are essential for verifying and benchmarking quantum algorithms, particularly for large circuits, where computational demands increase exponentially with the number of qubits. Among available methods, the cla...
Emergent Geometry from Quantum Probability
Shadi Ali Ahmad, M. Klinger·Nov 11, 2024
Carrying the insights of conditional probability to the quantum realm is notoriously difficult due to the non-commutative nature of quantum observables. Nevertheless, conditional expectations on von Neumann algebras have played a significant role in ...
Quantum Policy Gradient in Reproducing Kernel Hilbert Space
David M. Bossens, Kishor Bharti, Jayne Thompson·Nov 11, 2024
Parametrised quantum circuits offer expressive and data-efficient representations for machine learning. Due to quantum states residing in a high-dimensional Hilbert space, parametrised quantum circuits have a natural interpretation in terms of kernel...
Opportunities and Challenges of Solid-State Quantum Nonlinear Optics
Abhinav Kala, David Sharp, Minho Choi +7 more·Nov 10, 2024
Nonlinear interactions between single quantum particles are at the heart of any quantum information system, including analog quantum simulation and fault-tolerant quantum computing. This remains a particularly difficult problem for photonic qubits, a...
New random compiler for Hamiltonians via Markov Chains
B. Dubus, Joseph Cunningham, Jérémie Roland·Nov 10, 2024
Many quantum algorithms, such as adiabatic algorithms (e.g. AQC) and phase randomisation, require simulating Hamiltonian evolution. In addition, the simulation of physical systems is an important objective in its own right. In many cases, the Hamilto...
Error-mitigated initialization of surface codes with non-Pauli stabilizers
Zhi-cheng He, Zheng-Yuan Xue·Nov 10, 2024
Quantum error correction represents a significant milestone in large-scale quantum computing, with the surface code being a prominent strategy due to its high error threshold and experimental feasibility. However, it is challenging to implement non-C...
Low Bit‐Flip Rate Probabilistic Error Cancellation
Mathys Rennela, Harold Ollivier·Nov 10, 2024
Noise remains one of the most significant challenges in the development of reliable and scalable quantum processors. While quantum error correction and mitigation techniques offer potential solutions, they are often limited by the substantial overhea...
Adding the algebraic Ryu-Takayanagi formula to the algebraic reconstruction theorem
Mingshuai Xu, Haocheng Zhong·Nov 10, 2024
A huge progress in studying holographic theories is that holography can be interpreted via the quantum error correction, which makes equal the entanglement wedge reconstruction, the Jafferis-Lewkowycz-Maldacena-Suh formula, the radial commutativity a...
Few measurement shots challenge generalization in learning to classify entanglement
L. Banchi, Jason L. Pereira, M. Zamboni·Nov 10, 2024
The ability to extract general laws from a few known examples depends on the complexity of the problem and on the amount of training data. In the quantum setting, the learner's generalization performance is further challenged by the destructive natur...
Will Central Bank Digital Currencies (CBDC) and blockchain cryptocurrencies coexist in the post quantum era?
Abraham Itzhak Weinberg, P. Petratos, Alessio Faccia·Nov 10, 2024
This paper explores the coexistence possibilities of Central Bank Digital Currencies (CBDCs) and blockchain-based cryptocurrencies within a post-quantum computing landscape. It examines the implications of emerging quantum algorithms and cryptographi...
Analysis of the confinement string in (2 + 1)-dimensional Quantum Electrodynamics with a trapped-ion quantum computer
Arianna Crippa, Karl Jansen, Enrico Rinaldi·Nov 8, 2024
Compact lattice Quantum Electrodynamics is a complex quantum field theory with dynamical gauge and matter fields and it has similarities with Quantum Chromodynamics, in particular asymptotic freedom and confinement. We consider a (2+1)-dimensional la...