Article
Quantum Science & Technology
Eun Oh, Xuanying Lai, Jianming Wen, Shengwang Du
Summary: The promise of universal quantum computing requires scalable control interactions between single or multiple qubits. Current leading candidate platforms for quantum computing, superconducting circuits, trapped ions, and neutral atom arrays, suffer from strong interaction with environmental and control noises resulting in qubit decoherence. Photons, on the other hand, have advantages of being well decoupled from the environment and having high speed and timing capabilities. This article proposes a universal distributed quantum computing scheme based on photons and atomic-ensemble-based quantum memories, showcasing the potential of a photon-atom network hybrid approach.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Quantum Science & Technology
Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. Gonzalez
Summary: This paper presents a hybrid classical-quantum program for density estimation and supervised classification in a high-dimensional quantum computer. The proposed quantum protocols allow for estimating probability density functions and making predictions using supervised learning. The model can be generalized to find expected values of density matrices in high-dimensional quantum computers. Experimental results demonstrate that this method is a feasible strategy for implementing supervised classification and density estimation in a high-dimensional quantum computer.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Physics, Multidisciplinary
Conrad Strydom, Mark Tame
Summary: We propose and demonstrate an interleaved randomised benchmarking protocol for measurement-based quantum computers, which can estimate the fidelity of any single-qubit measurement-based gate. We tested the protocol on IBM superconducting quantum processors, successfully estimating the fidelities of Hadamard and T gates and detecting noise variations in different gate implementations.
Article
Quantum Science & Technology
Frederik Kofoed Marqversen, Nikolaj Thomas Zinner
Summary: We discuss the procedure for obtaining measurement-based implementations of quantum algorithms given by quantum circuit diagrams and how to reduce the required resources needed for a given measurement-based computation. This forms the foundation for quantum computing on photonic systems in the near term. To demonstrate that these ideas are well grounded we present three different problems which are solved by employing a measurement-based implementation of the variational quantum eigensolver algorithm (MBVQE). We show that by utilising native measurement-based gates rather than standard gates, such as the standard controlled not gate (CNOT), measurement-based quantum computations may be obtained that are both shallow and have simple connectivity while simultaneously exhibiting a large expressibility. We conclude that MBVQE has promising prospects for resource states that are not far from what is already available today.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Samuel Lenz, Dennis Koenig, David Hunger, Joris van Slageren
Summary: Although quantum computing has made great progress recently, the development of quantum memories has not kept pace. Current quantum memories require cryogenic temperatures and expensive peripheral hardware, but new research shows that ensembles of weakly coupled molecular spins can operate at room temperature and be used to store microwave pulses.
ADVANCED MATERIALS
(2021)
Article
Quantum Science & Technology
Niels M. P. Neumann, Paolo B. U. L. de Heer, Frank Phillipson
Summary: In this paper, two quantum computing approaches, annealing-based and gate-based, are implemented and compared to a classical deep reinforcement learning approach for finding the optimal policy in a grid traversal task. Stochastic actions and curriculum learning are introduced to enhance the three approaches. The results show that curriculum learning improves the expected reward of traversal and the quantum approaches require fewer training steps compared to the classical approach.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Computer Science, Hardware & Architecture
Qisheng Wang, Riling Li, Mingsheng Ying
Summary: We propose a formal framework for equivalence checking of sequential quantum circuits and develop an algorithm to address the major difficulty in quantum circuits. Based on experimental results, our algorithm has a complexity comparable to that of algorithms for checking classical sequential circuits.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Review
Chemistry, Multidisciplinary
Ju Yong Park, Duk-Hyun Choe, Dong Hyun Lee, Geun Taek Yu, Kun Yang, Se Hyun Kim, Geun Hyeong Park, Seung-Geol Nam, Hyun Jae Lee, Sanghyun Jo, Bong Jin Kuh, Daewon Ha, Yongsung Kim, Jinseong Heo, Min Hyuk Park
Summary: The research on ferroelectric memories has been limited in the past due to scalability and compatibility issues. However, the discovery of ferroelectricity in certain oxides has revived interest in the field. The potential of inducing nanoscale nonvolatility in gate insulators has been demonstrated. However, technical limitations and variations in reliability need to be addressed for practical applications in various types of devices.
ADVANCED MATERIALS
(2023)
Article
Quantum Science & Technology
Run-Hua Shi, Bai Liu, Mingwu Zhang
Summary: This paper defines two specific secure multiparty summations and presents corresponding measurement-device-independent quantum secure multiparty summation protocols. In these protocols, each party only performs simple single-particle operators, not complex quantum measurements. The proposed protocols achieve information-theoretical security, feasibility, and high performance.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Chemistry, Multidisciplinary
Bhaswar Chakrabarti, Henry Chan, Khan Alam, Aditya Koneru, Thomas E. Gage, Leonidas E. Ocola, Ralu Divan, Daniel Rosenmann, Abhishek Khanna, Benjamin Grisafe, Toby Sanders, Suman Datta, Ilke Arslan, Subramanian K. R. S. Sankaranarayan, Supratik Guha
Summary: This study addresses the issues of high switching power requirements and device variabilities in metal-insulator-metal structures by using ultraporous dielectrics for high-performance resistive memory devices. The ultraporous films exhibit ultrahigh on/off ratio and ultralow switching voltages, making them promising for large-scale neuromorphic and memory applications. The synthesis methodology provides a compatible, inexpensive route that is scalable and compatible with existing semiconductor nanofabrication methods and materials.
Article
Physics, Multidisciplinary
Bibek Bhandari, Robert Czupryniak, Paolo Andrea Erdman, Andrew N. Jordan
Summary: We investigated thermal machines powered by quantum measurements and feedback using coupled qubits. We explored two versions of the machine: a quantum Maxwell's demon with a detachable shared bath and a measurement-assisted refrigerator with hot and cold baths. We found that coupling two qubits improved the power output in the demon case, and simultaneous measurement of both qubits enhanced heat extraction in the refrigerator case.
Article
Physics, Multidisciplinary
Xiaotong Xu, Run-hua Shi, Weiyang Ke
Summary: This article introduces a new primitive quantum secure multiparty exclusive OR protocol based on Measurement-Device-Independence (MDI) to remove any trusted third party from the voting scheme by utilizing entanglement swapping of Bell states. Based on this primitive protocol, a novel quantum anonymous veto voting scheme is constructed, which can meet complete security attributes. The scheme utilizes Bell states as quantum resources and performs only Bell states identification based on the principle of MDI, making it feasible with present quantum information processing technologies.
Article
Physics, Multidisciplinary
Byoung S. Ham
Summary: The article discusses the quantum memory methods for potential applications of quantum repeaters in quantum networks and proposes modifications to traditional photon-echo schemes. Research shows that there is still room for improvement in coherence preservation with the current methods.
Article
Multidisciplinary Sciences
Chao Meng, George A. Brawley, Soroush Khademi, Elizabeth M. Bridge, James S. Bennett, Warwick P. Bowen
Summary: Nanomechanical resonators are important tools for studying quantum technology and macroscopic quantum physics. Preparing nonclassical states at room temperature is a challenge. This study demonstrates the preparation of a thermally squeezed mechanical state by breaking the symmetry between position and momentum using fast continuous measurement. Collective measurements on multiple mechanical modes are utilized to increase measurement speed and improve state preparation. The results suggest that existing technology can enable room temperature quantum squeezing through multimode conditioning. This work paves the way for quantum nanomechanical devices at room temperature and their applications in quantum technology and fundamental science.
Article
Optics
Chirag Srivastava, Shiladitya Mal, Aditi Sen(De), Ujjwal Sen
Summary: This study demonstrates the robustness of measurement-device-independent entanglement witness for detecting entanglement. In specific scenarios, the number of successful observers detecting entanglement is greater compared to standard and Bell-inequality-based methods. Additionally, entangled states may remain entangled even when measured sharply by sequential observers in a measurement-device-independent situation.
Article
Physics, Multidisciplinary
Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, Mauro Paternostro
NEW JOURNAL OF PHYSICS
(2020)
Article
Physics, Multidisciplinary
Taira Giordani, Alessia Suprano, Emanuele Polino, Francesca Acanfora, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicolo Spagnolo, Fabio Sciarrino
PHYSICAL REVIEW LETTERS
(2020)
Article
Physics, Multidisciplinary
Timo Hillmann, Fernando Quijandria, Goran Johansson, Alessandro Ferraro, Simone Gasparinetti, Giulia Ferrini
PHYSICAL REVIEW LETTERS
(2020)
Article
Physics, Multidisciplinary
Taira Giordani, Luca Innocenti, Alessia Suprano, Emanuele Polino, Mauro Paternostro, Nicolo Spagnolo, Fabio Sciarrino, Alessandro Ferraro
Summary: Generating and controlling quantum correlations in high-dimensional systems is a major challenge in quantum technologies. A proposed protocol utilizes quantum-walk based mechanism to achieve entangled states in d-dimensional systems, potentially enhancing capabilities in quantum cryptography, communication, and computation. This versatile tool could be applied in various experimental platforms, with a possible photonic implementation using orbital angular momentum and polarization degrees of freedom of single photons.
NEW JOURNAL OF PHYSICS
(2021)
Article
Physics, Multidisciplinary
Alessia Suprano, Danilo Zia, Emanuele Polino, Taira Giordani, Luca Innocenti, Mauro Paternostro, Alessandro Ferraro, Nicolo Spagnolo, Fabio Sciarrino
Summary: This paper goes beyond the LG assumption and introduces HyGG modes as basis states for a refined model, showing enhanced performances in OAM detection for holographic projection and classification techniques, providing a significant boost in the overall efficiency of OAM-encoded single-photon detection systems.
NEW JOURNAL OF PHYSICS
(2021)
Article
Physics, Multidisciplinary
Jonathon Brown, Pierpaolo Sgroi, Luigi Giannelli, Gheorghe Sorin Paraoanu, Elisabetta Paladino, Giuseppe Falci, Mauro Paternostro, Alessandro Ferraro
Summary: A combination of reinforcement learning and traditional optimization techniques is used to identify optimal protocols for population transfer in a multi-level system. The new protocols identified in the study are efficient and different from standard methods, showing robustness against energy losses and dephasing. This research has the potential to simplify the implementation of population transfer in experimental platforms like semiconducting and superconducting systems.
NEW JOURNAL OF PHYSICS
(2021)
Article
Quantum Science & Technology
Hannah McAleese, Gediminas Juska, Iman Ranjbar Jahromi, Emanuele Pelucchi, Alessandro Ferraro, Mauro Paternostro
Summary: This study investigates the distribution of entanglement using incoherent dynamics and imperfect unitary interactions in the presence of non-unitary or unitary errors. The research reveals that entanglement can still be successfully distributed by measuring the carrier in a suitable basis and introducing imperfections in the unitary dynamics. Furthermore, variations in the strength of the unitary dynamics can enhance robustness against non-unitary errors.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Physics, Multidisciplinary
Oliver Hahn, Alessandro Ferraro, Lina Hultquist, Giulia Ferrini, Laura Garcia-Alvarez
Summary: Quantum resource theories offer a powerful framework for understanding and quantifying quantum phenomena. This paper introduces a resource measure, based on bosonic codes, for the sought-after property of "magic" in fault-tolerant quantum computers. By utilizing the Gottesman-Kitaev-Preskill code and considering the Wigner negativity, the authors provide analytical expressions that extend the current analysis to systems of up to 12 qubits.
PHYSICAL REVIEW LETTERS
(2022)
Article
Quantum Science & Technology
Jonathon Brown, Mauro Paternostro, Alessandro Ferraro
Summary: We use machine learning and evolutionary algorithms to engineer quantum states in superconducting platforms. By optimizing the time-dependent couplings between qubits and a common driven microwave resonator, we achieve high quantum fidelities and fast preparation times for various target states. The genetic algorithm proves to be effective in controlling large quantum systems, even in the presence of noise.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Physics, Multidisciplinary
Danilo Zia, Riccardo Checchinato, Alessia Suprano, Taira Giordani, Emanuele Polino, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicole Spagnolo, Fabio Sciarrino
Summary: The orbital angular momentum (OAM) of light is an infinite-dimensional degree of freedom with various applications in optics. This study presents an approach to reconstruct input OAM states by analyzing the spatial intensity distributions they produce. By using two intensity profiles per state, the inherent symmetry issue of Laguerre-Gauss modes is avoided, and the input states can be uniquely recovered from the collected data. The demonstrated approach, based on dimensionality reduction and linear regression, shows high performance and versatility in characterizing high-dimensional states in quantum information protocols.
PHYSICAL REVIEW RESEARCH
(2023)
Article
Quantum Science & Technology
Cameron Calcluth, Alessandro Ferraro, Giulia Ferrini
Summary: We study the classical simulatability of GKP states in combination with arbitrary displacements, symplectic operations, and homodyne measurements. By evaluating the probability density function, we identify multimode circuits that can be efficiently simulated classically and extend the known range of simulatable circuits.
Article
Optics
Oliver Hahn, Patric Holmvall, Pascal Stadler, Giulia Ferrini, Alessandro Ferraro
Summary: In the realm of quantum technology, Gaussian states and operations are easily accessible, while non-Gaussian ones pose challenges. Research has shown approximate equivalence between cat and binomial states under finite energy. Improvements in generating cat states were made by introducing additional squeezing operations.
Article
Optics
Oussama Houhou, Darren W. Moore, Sougato Bose, Alessandro Ferraro
Summary: This paper introduces a method for implementing universal quantum computation unconditionally using an integrated platform. Through the driven-dissipative dynamics of the opto- and electromechanical systems, the required non-Gaussian cluster states are deterministically prepared, and arbitrary Gaussian measurements on the cluster nodes are performed by continuously monitoring the output cavity field. The feasibility requirements of this approach have been analyzed in detail, suggesting that its building blocks are within reach of current technology.
Article
Optics
Alessia Suprano, Danilo Zia, Emanuele Polino, Taira Giordani, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicolo Spagnolo, Fabio Sciarrino
Summary: Experimental engineering of high-dimensional quantum states is essential for quantum information protocols. An automated adaptive optimization protocol has been developed to estimate and adjust state quality in real time. The method demonstrates robustness and applicability in various scenarios, making it a powerful tool for optimizing noisy experimental tasks in quantum technologies.
ADVANCED PHOTONICS
(2021)
Article
Quantum Science & Technology
Yu Zheng, Oliver Hahn, Pascal Stadler, Patric Holmvall, Fernando Quijandria, Alessandro Ferraro, Giulia Ferrini
Summary: This paper introduces two Gaussian conversion protocols for converting experimentally achieved non-Gaussian states, specifically trisqueezed states, into cubic phase states. One protocol is deterministic involving active squeezing, while the other is probabilistic involving an auxiliary squeezed state. Both protocols demonstrate high success probabilities and fidelities, supporting the use of trisqueezed states as resources for universal quantum computation.
