Article
Optics
J. D. Arias Espinoza, M. Mazzanti, K. Fouka, R. X. Schuessler, Z. Wu, P. Corboz, R. Gerritsma, A. Safavi-Naini
Summary: The proposed method uses optical tweezers to engineer the sound-wave spectrum of trapped ion crystals, allowing for tuning of interactions and connectivity beyond current setups. Demonstrated feasibility of generating target spin-spin interaction patterns in both one- and two-dimensional crystals using realistic tweezer settings and experimentally relevant trap parameters. This approach advances quantum simulation in trapped-ion platforms by enabling realization of a broader family of quantum spin Hamiltonians.
Article
Chemistry, Multidisciplinary
Jacob Whitlow, Zhubing Jia, Ye Wang, Chao Fang, Jungsang Kim, Kenneth R. Brown
Summary: This article presents a quantum simulation of conical intersections using a trapped atomic ion system, and experimentally observes the manifestation of geometric phase, demonstrating the advantage of combining spin and motion for quantum simulation of chemical reactions.
Article
Physics, Applied
Lijuan Dong, Inigo Arrazola, Xi Chen, Jorge Casanova
Summary: In this study, a pulsed dynamical decoupling technique using random or correlated pulse phases is incorporated to enhance the robustness of entangling spin-spin dynamics in trapped ions. Originally conceived for nuclear spin detection in nuclear magnetic resonance, this technique demonstrates applicability for robust quantum-information processing in trapped-ion settings.
PHYSICAL REVIEW APPLIED
(2021)
Article
Physics, Multidisciplinary
J. Knoerzer, T. Shi, E. Demler, J. Cirac
Summary: By studying trapped-ion quantum systems, we can gain insights into generalized Holstein models and benchmark expensive numerical calculations. Our focus is on simulating many-electron systems and examining the competition between charge-density wave order, fermion pairing, and phase separation.
PHYSICAL REVIEW LETTERS
(2022)
Review
Physics, Multidisciplinary
Wentao Chen, Jaren Gan, Jing-Ning Zhang, Dzmitry Matuskevich, Kihwan Kim
Summary: Vibrational degrees of freedom in trapped-ion systems are now recognized as an important quantum resource due to the large available Hilbert space. Recent progress has been made in the coherent manipulation of vibrational modes, with applications in quantum information encoding schemes, measurement techniques, and quantum operations. Experimental demonstrations have shown the preparation of non-classical states, molecular vibronic sampling, and applications in quantum thermodynamics using vibrational modes.
Article
Physics, Multidisciplinary
Wentao Chen, Yao Lu, Shuaining Zhang, Kuan Zhang, Guanhao Huang, Mu Qiao, Xiaolu Su, Jialiang Zhang, Jing-Ning Zhang, Leonardo Banchi, M. S. Kim, Kihwan Kim
Summary: A minimal-loss programmable phononic network is demonstrated, which can deterministically prepare and detect any phononic state. The network can be extended to reveal quantum advantage and has high reconstruction fidelities for both single- and two-phonon states.
Article
Optics
Chung-Hsien Wang, Yi-Cheng Wang, Chi-Chih Chen, Chun-Che Wang, H. H. Jen
Summary: We demonstrate an enhanced dark-state sideband cooling in trapped atoms utilizing photon-mediated dipole-dipole interactions among them. By placing the atoms at the magic interparticle distances, we achieve an outperformed cooling behavior in the target atom that surpasses the limit of a single atom. Our results provide insights into subrecoil cooling of atoms with collective and light-induced long-range dipole-dipole interactions and pave the way for implementing genuine quantum operations in multiple quantum registers.
Review
Physics, Multidisciplinary
C. Monroe, W. C. Campbell, L-M Duan, Z-X Gong, A. Gorshkov, P. W. Hess, R. Islam, K. Kim, N. M. Linke, G. Pagano, P. Richerme, C. Senko, N. Y. Yao
Summary: Laser-cooled and trapped atomic ions provide an ideal platform for simulating interacting quantum spin models. By using optical fields to modulate the ions' Coulomb interaction, long-range and tunable spin-spin interactions can be produced. This quantum simulator allows for the study of complex equilibrium states and dynamical processes in many-body interacting quantum systems.
REVIEWS OF MODERN PHYSICS
(2021)
Article
Quantum Science & Technology
R. Ohira, S. Kume, H. Takahashi, K. Toyoda
Summary: The study experimentally observed the dynamics of a single polariton and two polaritons in a two-ion chain, demonstrating the suppression of polariton hopping in the anti-Jaynes-Cummings-Hubbard model. This work represents a significant step towards the development of a trapped-ion based quantum simulator for strongly interacting polaritonic systems.
QUANTUM SCIENCE AND TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
O. P. de Sa Neto, H. A. S. Costa, G. A. Prataviera, M. C. de Oliveira
Summary: In this study, estimation theory is applied to a system consisting of two interacting trapped ions. A simple scheme is introduced using the Fisher matrix formalism to estimate the temperature of the longitudinal vibrational modes of the ions. The interaction between the ions is utilized to effectively infer the temperature of individual ions by optimizing the interaction time evolution and measuring only one of the ions. The effect of a non-thermal reservoir on the inference approach is also investigated.
SCIENTIFIC REPORTS
(2022)
Article
Optics
Qianqian Chen, Yaoming Chu, Jianming Cai
Summary: Simulating quantum phenomena in extreme spacetimes in the laboratory is a powerful method to explore fundamental physics. By using trapped ions to simulate the movement of a Dirac particle propagating with a superluminal velocity caused by the emergent Alcubierre warp drive spacetime, we can observe the tilted light cone and measure the Zitterbewegung effect, providing insights into the fundamental limit of these extreme spacetimes.
Article
Optics
T. Tassis, F. L. Semiao
Summary: Trapped ions driven by electromagnetic radiation are highly developed quantum technologies, ranging from proof-of-principle experiments to on-chip integration for quantum information units. With novel trap and cavity designs, faster quantum gates and state transfers become possible. However, there is currently limited knowledge on models and applications that go beyond the weak-driving scenario.
Article
Quantum Science & Technology
Barbara Andrade, Zohreh Davoudi, Tobias Grass, Mohammad Hafezi, Guido Pagano, Alireza Seif
Summary: Trapped-ion quantum simulators utilizing the Molmer-Sorensen scheme to induce three-spin interactions are studied. The scheme allows for tailored single-, two-, and three-spin interactions and can be tuned for purely three-spin dynamics simulation. Analytical results and numerical simulations support the accuracy and feasibility of the scheme for near-term applications. The advantage of direct analog implementation of three-spin dynamics is demonstrated, and strategies for scaling the scheme to larger systems are discussed.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Physics, Multidisciplinary
Yotam Shapira, Sapir Cohen, Nitzan Akerman, Ady Stern, Roee Ozeri
Summary: In this study, we enhance the fidelity and robustness of entangling gates in quantum computers by introducing spin-dependent squeezing.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Multidisciplinary
Lea -Marina Steinert, Philip Osterholz, Robin Eberhard, Lorenzo Festa, Nikolaus Lorenz, Zaijun Chen, Arno Trautmann, Christian Gross
Summary: Researchers have achieved spatially tunable interactions in analog quantum simulators by manipulating Rydberg atoms, expanding the capabilities of these simulators.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Multidisciplinary
R. Grimaudo, A. S. Magalhaes de Castro, A. Messina, E. Solano, D. Valenti
Summary: This study investigates a two-interacting-qubit quantum Rabi-like model with vanishing transverse fields on the qubit pair. Regardless of the coupling regime, this model can be exactly and unitarily reduced to two independent single-spin quantum Rabi models, where the spin-spin coupling acts as the transverse field. This transformation and the analytical treatment of the single-spin quantum Rabi model are crucial in proving the integrability of our model. The study reveals the existence of different first-order quantum phase transitions characterized by discontinuous two-spin magnetization, mean photon number, and concurrence.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Multidisciplinary
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, Jose D. Martin-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Roman Orus, Enrique Solano, Mikel Sanz
Summary: In this study, a novel approach using a D-Wave quantum annealer is experimentally explored to predict financial crashes in a complex financial network. The performance of the quantum annealer in achieving financial equilibrium is benchmarked. The equilibrium condition of a nonlinear financial model is embedded into a higher-order unconstrained binary optimization (HUBO) problem, which is then transformed into a spin-1/2 Hamiltonian with at most, two-qubit interactions. The problem is equivalent to finding the ground state of an interacting spin Hamiltonian, which can be approximated with a quantum annealer. The experiment paves the way for the codification of this quantitative macroeconomics problem in quantum annealers.
Article
Physics, Multidisciplinary
Jia-Liang Tang, Gabriel Alvarado Barrios, Enrique Solano, Francisco Albarran-Arriagada
Summary: We investigated the tunable control of non-Markovianity in a bosonic mode by coupling it to auxiliary qubits in a thermal reservoir. By considering the Tavis-Cummings model for a single cavity mode and auxiliary qubits, we studied the manipulation of dynamical non-Markovianity with respect to the qubit frequency. Our findings reveal that controlling the auxiliary systems can influence the cavity dynamics as a time-dependent decay rate. Finally, we demonstrate how this tunable time-dependent decay rate can be used to engineer bosonic quantum memristors, which are essential for developing neuromorphic quantum technologies.
Editorial Material
Computer Science, Information Systems
Lucas Lamata
Article
Physics, Multidisciplinary
Inigo Arrazola, Jorge Casanova
Summary: The authors propose a general method for achieving robust entanglement gates using low-intensity dynamical-decoupling pulses and non-tunable qubit-boson coupling. This method allows for faster-than-dispersive entanglement gates and is applicable to any quantum platform with qubits interacting with bosonic mediators via longitudinal coupling. Numerical simulations with trapped ions coupled via magnetic field gradients demonstrate the feasibility of achieving entanglement gates with infidelities of 10(-3) or 10(-4) using current or near-future experimental setups, respectively.
COMMUNICATIONS PHYSICS
(2023)
Article
Quantum Science & Technology
Lucas Lamata
Summary: This article provides an overview of recent theoretical proposals and experimental implementations in the field of quantum machine learning. It reviews specific topics such as quantum reinforcement learning, quantum autoencoders, and quantum memristors, and their realization in quantum photonics and superconducting circuits. The field of quantum machine learning has the potential to produce significant results for industry and society, making it necessary to advance initial quantum implementations in noisy intermediate-scale quantum computers for better machine learning calculations.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Physics, Applied
Pranav Chandarana, Narendra N. Hegade, Iraitz Montalban, Enrique Solano, Xi Chen
Summary: We propose a hybrid classical-quantum digitized counterdiabatic algorithm to solve the protein-folding problem on a tetrahedral lattice. Our method outperforms state-of-the-art quantum algorithms using problem-inspired and hardware-efficient variational quantum circuits. We apply our method to proteins with up to nine amino acids, achieving high success probabilities with low-depth circuits on various quantum hardware.
PHYSICAL REVIEW APPLIED
(2023)
Article
Physics, Applied
Lucas C. Celeri, Daniel Huerga, Francisco Albarran-Arriagada, Enrique Solano, Mikel Garcia de Andoin, Mikel Sanz
Summary: Simulating quantum many-body systems is challenging, especially for fermionic systems due to the emergence of nonlocal interactions. We present a digital-analog quantum algorithm that can simulate a wide range of fermionic Hamiltonians, including the well-known Fermi-Hubbard model. These methods allow quantum algorithms to go beyond digital versions by efficiently utilizing coherence time. Additionally, we demonstrate a low-connected architecture for realistic digital-analog implementations of specific fermionic models.
PHYSICAL REVIEW APPLIED
(2023)
Article
Quantum Science & Technology
Pranav Chandarana, Pablo Suarez Vieites, Narendra N. Hegade, Enrique Solano, Yue Ban, Xi Chen
Summary: In this paper, we use meta-learning with recurrent neural networks to address the difficulties in finding suitable variational parameters and initial parameters for the QAOA. By combining meta-learning and counterdiabaticity, we find suitable variational parameters and reduce the number of optimization iterations required. Our method improves the performance of the state-of-the-art QAOA by offering a short-depth circuit ansatz with optimal initial parameters.
QUANTUM SCIENCE AND TECHNOLOGY
(2023)
Article
Astronomy & Astrophysics
Decheng Ma, Chenglong Jia, Enrique Solano, Lucas Chibebe Celeri
Summary: The propagation of phonons in the presence of a particle sink with radial flow in a Bose-Einstein condensate is considered. It is found that due to the particle sink, which simulates a static acoustic black hole, the phonon experiences significant spacetime curvature at a considerable distance from the sink. The trajectory of the phonons is bent after passing by the particle sink, simulating the gravitational lensing effect in a Bose-Einstein condensate. Possible experimental implementations are discussed.
Article
Quantum Science & Technology
Giancarlo Gatti, Daniel Huerga, Enrique Solano, Mikel Sanz
Summary: We propose a protocol to encode classical bits using quantum correlations for a random access code. Measurement contexts built with many-body Pauli observables enable efficient and random access to the encoded data, which is useful for large-data storage with partial retrieval.
Article
Quantum Science & Technology
Maria Laura Olivera-Atencio, Lucas Lamata, Jesus Casado-Pascual
Summary: Quantum machine learning (QML), which has the potential to revolutionize data processing, faces challenges from environmental noise and dissipation.While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages.Surprisingly, under certain conditions, noise and dissipation can benefit QML.Adapting to open quantum systems holds potential for groundbreaking discoveries that may reshape the future of quantum computing.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Optics
Jie Peng, Jianing Tang, Pinghua Tang, Zhongzhou Ren, Junlong Tian, Nancy Barraza, Gabriel Alvarado Barrios, Lucas Lamata, Enrique Solano, F. Albarran-Arriagada
Summary: In this study, we propose a high-quality deterministic single-photon source that can emit two single photons with any time separation. By utilizing special solutions and adiabatic evolutions, this proposal can be achieved rapidly, taking advantage of the ultrastrong coupling.
