Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Muhammad Kashif, Muhammad Shafique·Dec 9, 2024
This paper presents an easy-to-implement approach to mitigate the challenges posed by barren plateaus (BPs) in randomly initialized parameterized quantum circuits (PQCs) within variational quantum algorithms (VQAs). Recent state-of-the-art research i...
Towards Novel Tunability Schemes for Hybrid Ferromagnetic Transmon Qubits
H. G. Ahmad, R. Ferraiuolo, G. Serpico +12 more·Dec 9, 2024
Flux tuning of qubit frequencies in superconducting quantum processors is fundamental for implementing single and multi-qubit gates in quantum algorithms. Typical architectures involve the use of DC or fast RF lines. However, these lines introduce si...
Robust Quantum Reservoir Learning for Molecular Property Prediction
D. Beaulieu, M. Kornjača, Zoran Krunic +5 more·Dec 9, 2024
Machine learning has been increasingly utilized in the field of biomedical research to accelerate the drug discovery process. In recent years, the emergence of quantum computing has led to the extensive exploration of quantum machine learning algorit...
Noise-induced quantum-circuit refrigeration
Heidi Kivijarvi, A. Viitanen, Timm Morstedt +1 more·Dec 8, 2024
We use a transmon qubit and its dispersively coupled readout resonator to measure the Fock state populations of another microwave resonator, to which we have attached a quantum-circuit refrigerator (QCR). First, we apply noise generated at room tempe...
Development of neural network-based optimal control pulse generator for quantum logic gates using the GRAPE algorithm in NMR quantum computer
Ebrahim Khaleghian, Arash Fath Lipaei, A. Bahrampour +2 more·Dec 8, 2024
In this paper, we introduce a neural network to generate optimal control pulses for general single-qubit quantum logic gates, within a Nuclear Magnetic Resonance (NMR) quantum computer. By utilizing a neural network, we can efficiently implement any ...
Loss tangent fluctuations due to two-level systems in superconducting microwave resonators
André Vallières, Megan E. Russell, Xinyuan You +10 more·Dec 7, 2024
Superconducting microwave resonators are critical to quantum computing and sensing technologies. Additionally, they are common proxies for superconducting qubits when determining the effects of performance-limiting loss mechanisms such as from two-le...
Quantum network tomography of small Rydberg arrays by machine learning
Kaustav Mukherjee, Johannes Schachenmayer, S. Whitlock +1 more·Dec 7, 2024
Configurable arrays of optically trapped Rydberg atoms are a versatile platform for quantum computation and quantum simulation, also allowing controllable decoherence. We demonstrate theoretically, that they also enable proof-of-principle demonstrati...
Local fermion-to-qudit mappings: A practical recipe for four-level systems
Rodolfo Carobene, Stefano Barison, Andrea Giachero +1 more·Dec 7, 2024
In this paper, we present a new set of local fermion-to-qudit mappings for simulating fermionic lattice systems. We focus on the use of multi-level qudits, specifically ququarts. Traditional mappings, such as the Jordan-Wigner transformation (JWT), w...
The non-stabilizerness of fermionic Gaussian states
Mario Collura, Jacopo De Nardis, Vincenzo Alba +1 more·Dec 6, 2024
We introduce an efficient method to quantify nonstabilizerness in fermionic Gaussian states, overcoming the long-standing challenge posed by their extensive entanglement. Using a perfect sampling scheme based on an underlying determinantal point proc...
Universal 2-Local Symmetry-Preserving Quantum Neural Networks for Fermionic Systems
Ge Yan, Kaisen Pan, Ruocheng Wang +3 more·Dec 6, 2024
Simulating quantum many-body systems represents a fundamental challenge where classical machine learning methods are severely bottlenecked by the exponential curse of dimensionality. Variational Quantum Algorithms (VQAs) offer a native paradigm to ta...
Optimizing Quantum Communication for Quantum Data Centers with Reconfigurable Networks
Hezi Zhang, Yiran Xu, Haotian Hu +6 more·Dec 6, 2024
Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs. Among various DQC implementations, quantum data centers (QDCs), which utilize reconfigurable optical switch networks to link QPUs across different racks, are be...
Solid-state qubits in moire superlattices
Zhigang Song, P. Udvarhelyi, Yidan Wang +1 more·Dec 6, 2024
Qubits are the fundamental units in quantum computing, but they are also pivotal for advancements in quantum communication and sensing. Currently, there are a variety of platforms for qubits, including cold atoms, superconducting circuits, point defe...
Fault-Tolerant Implementation of the Deutsch-Jozsa Algorithm
Divyanshu Singh, S. Prakash·Dec 6, 2024
We show that one can implement the Deutsch-Josza algorithm, one of the first and simplest quantum algorithms, in a fault-tolerant manner using the smallest quantum error-detecting code -- the $[[4,2,2]]$ code -- without any ancillae. We implemented t...
Entanglement scaling in matrix product state representation of smooth functions and their shallow quantum circuit approximations
Vladyslav Bohun, Illia Lukin, Mykola Luhanko +4 more·Dec 6, 2024
Encoding classical data in a quantum state is a key prerequisite of many quantum algorithms. Recently matrix product state (MPS) methods emerged as the most promising approach for constructing shallow quantum circuits approximating input functions, i...
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
Alberto Marchisio, Emman Sychiuco, Muhammad Kashif +1 more·Dec 6, 2024
The rapid advancement in Quantum Computing, particularly through Noisy-Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum Machine Learning (QML) applications. Despite their potential, fully-quantum algorithms remai...
Fast Laplace transforms on quantum computers
Julien Zylberman·Dec 6, 2024
While many classical algorithms rely on Laplace transforms, it has remained an open question whether these operations could be implemented efficiently on quantum computers. In this work, we introduce the Quantum Laplace Transform (QLT), which enables...
Compiling the surface code to crossbar spin qubit architectures
Dávid Pataki, András Pályi·Dec 6, 2024
Spin qubits in quantum dots provide a promising platform for realizing large-scale quantum processors since they have a small characteristic size of a few tens of nanometers. One difficulty of controlling e.g., a few thousand qubits on a single chip ...
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique·Dec 6, 2024
Hybrid Quantum Neural Networks (HQNNs), under the umbrella of Quantum Machine Learning (QML), have garnered significant attention due to their potential to enhance computational performance by integrating quantum layers within traditional neural netw...
Near-optimal pure state estimation with adaptive Fisher-symmetric measurements
C. Vargas, L. Pereira, A. Delgado·Dec 5, 2024
Quantum state estimation is important for various quantum information processes, including quantum communications, computation, and metrology, which require the characterization of quantum states for evaluation and optimization. We present a three-st...
Quantized Hall drift in a frequency-encoded photonic Chern insulator
Alexandre Chénier, Bosco d'Aligny, Félix Pellerin +4 more·Dec 5, 2024
The quantization of transport and its resilience to backscattering are key features for leveraging topological matter in applications that demand stringent noise mitigation, such as metrology and quantum information processing. Due to the bosonic nat...