Superconducting Phase Qubits
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Direct Dispersive Monitoring of Charge Parity in Offset-Charge
PHYSICAL REVIEW APPLIED 12, 014052 (2019) Direct Dispersive Monitoring of Charge Parity in Offset-Charge-Sensitive Transmons K. Serniak,* S. Diamond, M. Hays, V. Fatemi, S. Shankar, L. Frunzio, R.J. Schoelkopf, and M.H. Devoret† Department of Applied Physics, Yale University, New Haven, Connecticut 06520, USA (Received 29 March 2019; revised manuscript received 20 June 2019; published 26 July 2019) A striking characteristic of superconducting circuits is that their eigenspectra and intermode coupling strengths are well predicted by simple Hamiltonians representing combinations of quantum-circuit ele- ments. Of particular interest is the Cooper-pair-box Hamiltonian used to describe the eigenspectra of transmon qubits, which can depend strongly on the offset-charge difference across the Josephson element. Notably, this offset-charge dependence can also be observed in the dispersive coupling between an ancil- lary readout mode and a transmon fabricated in the offset-charge-sensitive (OCS) regime. We utilize this effect to achieve direct high-fidelity dispersive readout of the joint plasmon and charge-parity state of an OCS transmon, which enables efficient detection of charge fluctuations and nonequilibrium-quasiparticle dynamics. Specifically, we show that additional high-frequency filtering can extend the charge-parity life- time of our device by 2 orders of magnitude, resulting in a significantly improved energy relaxation time T1 ∼ 200 μs. DOI: 10.1103/PhysRevApplied.12.014052 I. INTRODUCTION charge states, like a usual transmon but with measurable offset-charge dispersion of the transition frequencies The basic building blocks of quantum circuits—e.g., between eigenstates, like a Cooper-pair box. This defines capacitors, inductors, and nonlinear elements such as what we refer to as the offset-charge-sensitive (OCS) Josephson junctions [1] and electromechanical trans- transmon regime. -
A Scanning Transmon Qubit for Strong Coupling Circuit Quantum Electrodynamics
ARTICLE Received 8 Mar 2013 | Accepted 10 May 2013 | Published 7 Jun 2013 DOI: 10.1038/ncomms2991 A scanning transmon qubit for strong coupling circuit quantum electrodynamics W. E. Shanks1, D. L. Underwood1 & A. A. Houck1 Like a quantum computer designed for a particular class of problems, a quantum simulator enables quantitative modelling of quantum systems that is computationally intractable with a classical computer. Superconducting circuits have recently been investigated as an alternative system in which microwave photons confined to a lattice of coupled resonators act as the particles under study, with qubits coupled to the resonators producing effective photon–photon interactions. Such a system promises insight into the non-equilibrium physics of interacting bosons, but new tools are needed to understand this complex behaviour. Here we demonstrate the operation of a scanning transmon qubit and propose its use as a local probe of photon number within a superconducting resonator lattice. We map the coupling strength of the qubit to a resonator on a separate chip and show that the system reaches the strong coupling regime over a wide scanning area. 1 Department of Electrical Engineering, Princeton University, Olden Street, Princeton 08550, New Jersey, USA. Correspondence and requests for materials should be addressed to W.E.S. (email: [email protected]). NATURE COMMUNICATIONS | 4:1991 | DOI: 10.1038/ncomms2991 | www.nature.com/naturecommunications 1 & 2013 Macmillan Publishers Limited. All rights reserved. ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms2991 ver the past decade, the study of quantum physics using In this work, we describe a scanning superconducting superconducting circuits has seen rapid advances in qubit and demonstrate its coupling to a superconducting CPWR Osample design and measurement techniques1–3. -
Control of the Geometric Phase in Two Open Qubit–Cavity Systems Linked by a Waveguide
entropy Article Control of the Geometric Phase in Two Open Qubit–Cavity Systems Linked by a Waveguide Abdel-Baset A. Mohamed 1,2 and Ibtisam Masmali 3,* 1 Department of Mathematics, College of Science and Humanities, Prince Sattam bin Abdulaziz University, Al-Aflaj 710-11912, Saudi Arabia; [email protected] 2 Faculty of Science, Assiut University, Assiut 71516, Egypt 3 Department of Mathematics, Faculty of Science, Jazan University, Gizan 82785, Saudi Arabia * Correspondence: [email protected] Received: 28 November 2019; Accepted: 8 January 2020; Published: 10 January 2020 Abstract: We explore the geometric phase in a system of two non-interacting qubits embedded in two separated open cavities linked via an optical fiber and leaking photons to the external environment. The dynamical behavior of the generated geometric phase is investigated under the physical parameter effects of the coupling constants of both the qubit–cavity and the fiber–cavity interactions, the resonance/off-resonance qubit–field interactions, and the cavity dissipations. It is found that these the physical parameters lead to generating, disappearing and controlling the number and the shape (instantaneous/rectangular) of the geometric phase oscillations. Keywords: geometric phase; cavity damping; optical fiber 1. Introduction The mathematical manipulations of the open quantum systems, of the qubit–field interactions, depend on the ability of solving the master-damping [1] and intrinsic-decoherence [2] equations, analytically/numerically. To remedy the problems of these manipulations, the quantum phenomena of the open systems were studied for limited physical circumstances [3–7]. The quantum geometric phase is a basic intrinsic feature in quantum mechanics that is used as the basis of quantum computation [8]. -
Physical Implementations of Quantum Computing
Physical implementations of quantum computing Andrew Daley Department of Physics and Astronomy University of Pittsburgh Overview (Review) Introduction • DiVincenzo Criteria • Characterising coherence times Survey of possible qubits and implementations • Neutral atoms • Trapped ions • Colour centres (e.g., NV-centers in diamond) • Electron spins (e.g,. quantum dots) • Superconducting qubits (charge, phase, flux) • NMR • Optical qubits • Topological qubits Back to the DiVincenzo Criteria: Requirements for the implementation of quantum computation 1. A scalable physical system with well characterized qubits 1 | i 0 | i 2. The ability to initialize the state of the qubits to a simple fiducial state, such as |000...⟩ 1 | i 0 | i 3. Long relevant decoherence times, much longer than the gate operation time 4. A “universal” set of quantum gates control target (single qubit rotations + C-Not / C-Phase / .... ) U U 5. A qubit-specific measurement capability D. P. DiVincenzo “The Physical Implementation of Quantum Computation”, Fortschritte der Physik 48, p. 771 (2000) arXiv:quant-ph/0002077 Neutral atoms Advantages: • Production of large quantum registers • Massive parallelism in gate operations • Long coherence times (>20s) Difficulties: • Gates typically slower than other implementations (~ms for collisional gates) (Rydberg gates can be somewhat faster) • Individual addressing (but recently achieved) Quantum Register with neutral atoms in an optical lattice 0 1 | | Requirements: • Long lived storage of qubits • Addressing of individual qubits • Single and two-qubit gate operations • Array of singly occupied sites • Qubits encoded in long-lived internal states (alkali atoms - electronic states, e.g., hyperfine) • Single-qubit via laser/RF field coupling • Entanglement via Rydberg gates or via controlled collisions in a spin-dependent lattice Rb: Group II Atoms 87Sr (I=9/2): Extensively developed, 1 • P1 e.g., optical clocks 3 • Degenerate gases of Yb, Ca,.. -
Higher Levels of the Transmon Qubit
Higher Levels of the Transmon Qubit MASSACHUSETTS INSTITUTE OF TECHNirLOGY by AUG 15 2014 Samuel James Bader LIBRARIES Submitted to the Department of Physics in partial fulfillment of the requirements for the degree of Bachelor of Science in Physics at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 2014 @ Samuel James Bader, MMXIV. All rights reserved. The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Signature redacted Author........ .. ----.-....-....-....-....-.....-....-......... Department of Physics Signature redacted May 9, 201 I Certified by ... Terr P rlla(nd Professor of Electrical Engineering Signature redacted Thesis Supervisor Certified by ..... ..................... Simon Gustavsson Research Scientist Signature redacted Thesis Co-Supervisor Accepted by..... Professor Nergis Mavalvala Senior Thesis Coordinator, Department of Physics Higher Levels of the Transmon Qubit by Samuel James Bader Submitted to the Department of Physics on May 9, 2014, in partial fulfillment of the requirements for the degree of Bachelor of Science in Physics Abstract This thesis discusses recent experimental work in measuring the properties of higher levels in transmon qubit systems. The first part includes a thorough overview of transmon devices, explaining the principles of the device design, the transmon Hamiltonian, and general Cir- cuit Quantum Electrodynamics concepts and methodology. The second part discusses the experimental setup and methods employed in measuring the higher levels of these systems, and the details of the simulation used to explain and predict the properties of these levels. Thesis Supervisor: Terry P. Orlando Title: Professor of Electrical Engineering Thesis Supervisor: Simon Gustavsson Title: Research Scientist 3 4 Acknowledgments I would like to express my deepest gratitude to Dr. -
In Situ Quantum Control Over Superconducting Qubits
! In situ quantum control over superconducting qubits Anatoly Kulikov M.Sc. A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2020 School of Mathematics and Physics ARC Centre of Excellence for Engineered Quantum Systems (EQuS) ABSTRACT In the last decade, quantum information processing has transformed from a field of mostly academic research to an applied engineering subfield with many commercial companies an- nouncing strategies to achieve quantum advantage and construct a useful universal quantum computer. Continuing efforts to improve qubit lifetime, control techniques, materials and fab- rication methods together with exploring ways to scale up the architecture have culminated in the recent achievement of quantum supremacy using a programmable superconducting proces- sor { a major milestone in quantum computing en route to useful devices. Marking the point when for the first time a quantum processor can outperform the best classical supercomputer, it heralds a new era in computer science, technology and information processing. One of the key developments enabling this transition to happen is the ability to exert more precise control over quantum bits and the ability to detect and mitigate control errors and imperfections. In this thesis, ways to efficiently control superconducting qubits are explored from the experimental viewpoint. We introduce a state-of-the-art experimental machinery enabling one to perform one- and two-qubit gates focusing on the technical aspect and outlining some guidelines for its efficient operation. We describe the software stack from the time alignment of control pulses and triggers to the data processing organisation. We then bring in the standard qubit manipulation and readout methods and proceed to describe some of the more advanced optimal control and calibration techniques. -
Quantum Computing for Undergraduates: a True STEAM Case
Lat. Am. J. Sci. Educ. 6, 22030 (2019) Latin American Journal of Science Education www.lajse.org Quantum Computing for Undergraduates: a true STEAM case a b c César B. Cevallos , Manuel Álvarez Alvarado , and Celso L. Ladera a Instituto de Ciencias Básicas, Dpto. de Física, Universidad Técnica de Manabí, Portoviejo, Provincia de Manabí, Ecuador b Facultad de Ingeniería en Electricidad y Computación, Escuela Politécnica del Litoral, Guayaquil. Ecuador c Departamento de Física, Universidad Simón Bolívar, Valle de Sartenejas, Caracas 1089, Venezuela A R T I C L E I N F O A B S T R A C T Received: Agosto 15, 2019 The first quantum computers of 5-20 superconducting qubits are now available for free Accepted: September 20, 2019 through the Cloud for anyone who wants to implement arrays of logical gates, and eventually Available on-line: Junio 6, 2019 to program advanced computer algorithms. The latter to be eventually used in solving Combinatorial Optimization problems, in Cryptography or for cracking complex Keywords: STEAM, quantum computational chemistry problems, which cannot be either programmed or solved using computer, engineering curriculum, classical computers based on present semiconductor electronics. Moreover, Quantum physics curriculum. Advantage, i.e. computational power beyond that of conventional computers seems to be within our reach in less than one year from now (June 2018). It does seem unlikely that these E-mail addresses: new fast computers, based on quantum mechanics and superconducting technology, will ever [email protected] become laptop-like. Yet, within a decade or less, their physics, technology and programming [email protected] will forcefully become part, of the undergraduate curriculae of Physics, Electronics, Material [email protected] Science, and Computer Science: it is indeed a subject that embraces Sciences, Advanced Technologies and even Art e.g. -
SOLID STATE QUANTUM BIT CIRCUITS Daniel Esteve and Denis
SOLID STATE QUANTUM BIT CIRCUITS Daniel Esteve and Denis Vion Quantronics, SPEC, CEA-Saclay, 91191 Gif sur Yvette, France 1 Contents 1. Why solid state quantum bits? 5 1.1. From quantum mechanics to quantum machines 5 1.2. Quantum processors based on qubits 7 1.3. Atom and ion versus solid state qubits 9 1.4. Electronic qubits 9 2. qubits in semiconductor structures 10 2.1. Kane’s proposal: nuclear spins of P impurities in silicon 10 2.2. Electron spins in quantum dots 10 2.3. Charge states in quantum dots 12 2.4. Flying qubits 12 3. Superconducting qubit circuits 13 3.1. Josephson qubits 14 3.1.1. Hamiltonian of Josephson qubit circuits 15 3.1.2. The single Cooper pair box 15 3.1.3. Survey of Cooper pair box experiments 16 3.2. How to maintain quantum coherence? 17 3.2.1. Qubit-environment coupling Hamiltonian 18 3.2.2. Relaxation 18 3.2.3. Decoherence: relaxation + dephasing 19 3.2.4. The optimal working point strategy 20 4. The quantronium circuit 20 4.1. Relaxation and dephasing in the quantronium 21 4.2. Readout 22 4.2.1. Switching readout 23 4.2.2. AC methods for QND readout 24 5. Coherent control of the qubit 25 5.1. Ultrafast ’DC’ pulses versus resonant microwave pulses 25 5.2. NMR-like control of a qubit 26 6. Probing qubit coherence 28 6.1. Relaxation 29 6.2. Decoherence during free evolution 29 6.3. Decoherence during driven evolution 32 7. Qubit coupling schemes 32 7.1. -
Multi-Target-Qubit Unconventional Geometric Phase Gate in a Multi-Cavity System
www.nature.com/scientificreports OPEN Multi-target-qubit unconventional geometric phase gate in a multi- cavity system Received: 24 June 2015 Tong Liu, Xiao-Zhi Cao, Qi-Ping Su, Shao-Jie Xiong & Chui-Ping Yang Accepted: 25 January 2016 Cavity-based large scale quantum information processing (QIP) may involve multiple cavities and Published: 22 February 2016 require performing various quantum logic operations on qubits distributed in different cavities. Geometric-phase-based quantum computing has drawn much attention recently, which offers advantages against inaccuracies and local fluctuations. In addition, multiqubit gates are particularly appealing and play important roles in QIP. We here present a simple and efficient scheme for realizing a multi-target-qubit unconventional geometric phase gate in a multi-cavity system. This multiqubit phase gate has a common control qubit but different target qubits distributed in different cavities, which can be achieved using a single-step operation. The gate operation time is independent of the number of qubits and only two levels for each qubit are needed. This multiqubit gate is generic, e.g., by performing single-qubit operations, it can be converted into two types of significant multi-target-qubit phase gates useful in QIP. The proposal is quite general, which can be used to accomplish the same task for a general type of qubits such as atoms, NV centers, quantum dots, and superconducting qubits. Multiqubit gates are particularly appealing and have been considered as an attractive building block for quantum information processing (QIP). In parallel to Shor algorithm1, Grover/Long algorithm2,3, quantum simulations, such as analogue quantum simulation4 and digital quantum simulation5, are also important QIP tasks where con- trolled quantum gates play important roles. -
EE214/PHYS220 Quantum Computing Lecture 1: Introduction Textbook: N
EE214/PHYS220 Quantum Computing Lecture 1: Introduction Textbook: N. D. Mermin, Quantum computer science (Cambridge Univ. Press, 2007) (errata at http://www.lassp.cornell.edu/mermin/errata-1-12-12.pdf); http://www.lassp.cornell.edu/mermin/qcomp/CS483.html (lecture notes) Other resources: http://www.theory.caltech.edu/~preskill/ph219/ (lecture notes, Caltech course) http://inst.eecs.berkeley.edu/~cs191 (lecture notes, UC Berkeley course) M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge Univ. Press, 2000) G. Benenti, G. Casati, and G. Strini, Principles of Quantum Computation and Information, Vol. I: Basic Concepts (World Scientific, 2005) Prospects for Quantum Computing (QC): not really clear Pessimistic view: never, possibly limited to very small QCs as servers for quantum cryptography networks Optimistic view: in 20-50 years large-scale QCs, capable of factoring large integers Very optimistic (overoptimistic): will partially or completely replace general-purpose computers What QC can do efficiently 1) Factoring large integers (exponential speedup) Best classical: exp[ log / ], 1 3 more∼ accurately exp log log log , log base 2 1⁄3 64 2⁄3 Quantum: log (Shor’s∼ algorithm)9 2) Search in unsorted database3 (quadratic speedup) ∼ Classical: (simply check all) Quantum: (Grover’s algorithm) ∼ 3) Simulation of quantum∼ systems (for study of materials, etc.) 4) Possibly something else important (still area of active research) Current status: numbers 15 and 21 “factored” (also 143 with adiabatic QC) 14 well-entangled qubits (trapped ions, 2011), <25 qubits quantum algorithms with 9 superconducting qubits (2015), 1,000 D-Wave “qubits” Truly interdisciplinary effort: physics, engineering, computer science, mathematics Classical vs. -
Realisation of Qudits in Coupled Potential Wells Ariel Landau Tel Aviv University
Chapman University Chapman University Digital Commons Mathematics, Physics, and Computer Science Science and Technology Faculty Articles and Faculty Articles and Research Research 8-23-2016 Realisation of Qudits in Coupled Potential Wells Ariel Landau Tel Aviv University Yakir Aharonov Chapman University, [email protected] Eliahu Cohen University of Bristol Follow this and additional works at: http://digitalcommons.chapman.edu/scs_articles Part of the Quantum Physics Commons Recommended Citation Landau, A., Aharonov, Y., Cohen, E., 2016. Realization of qudits in coupled potential wells. Int. J. Quantum Inform. 14, 1650029. doi:10.1142/S0219749916500295 This Article is brought to you for free and open access by the Science and Technology Faculty Articles and Research at Chapman University Digital Commons. It has been accepted for inclusion in Mathematics, Physics, and Computer Science Faculty Articles and Research by an authorized administrator of Chapman University Digital Commons. For more information, please contact [email protected]. Realisation of Qudits in Coupled Potential Wells Comments This is a pre-copy-editing, author-produced PDF of an article accepted for publication in International Journal of Quantum Information, volume 14, in 2016 following peer review. The definitive publisher-authenticated version is available online at DOI: 10.1142/S0219749916500295. Copyright World Scientific This article is available at Chapman University Digital Commons: http://digitalcommons.chapman.edu/scs_articles/383 Realisation of Qudits in Coupled Potential Wells Ariel Landau1, Yakir Aharonov1;2, Eliahu Cohen3 1School of Physics and Astronomy, Tel-Aviv University, Tel-Aviv 6997801, Israel 2Schmid College of Science, Chapman University, Orange, CA 92866, USA 3H.H. Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, U.K PACS numbers: ABSTRACT to study the analogue 3-state register, the qutrit, and more generally the d-state qudit. -
Arxiv:1408.2168V2
Fast universal quantum gates on microwave photons with all-resonance operations in circuit QED∗ Ming Hua, Ming-Jie Tao, and Fu-Guo Deng† Department of Physics, Applied Optics Beijing Area Major Laboratory, Beijing normal University, Beijing 100875, China (Dated: August 21, 2018) Stark shift on a superconducting qubit in circuit quantum electrodynamics (QED) has been used to construct universal quantum entangling gates on superconducting resonators in previous works. It is a second-order coupling effect between the resonator and the qubit in the dispersive regime, which leads to a slow state-selective rotation on the qubit. Here, we present two proposals to construct the fast universal quantum gates on superconducting resonators in a microwave-photon quantum processor composed of multiple superconducting resonators coupled to a superconducting transmon qutrit, that is, the controlled-phase (c-phase) gate on two microwave-photon resonators and the controlled-controlled phase (cc-phase) gates on three resonators, resorting to quantum resonance operations, without any drive field. Compared with previous works, our universal quantum gates have the higher fidelities and shorter operation times in theory. The numerical simulation shows that the fidelity of our c-phase gate is 99.57% within about 38.1 ns and that of our cc-phase gate is 99.25% within about 73.3 ns. PACS numbers: 03.67.Lx, 03.67.Bg, 85.25.Dq, 42.50.Pq Quantum computation and quantum information processing have attached much attention [1] in recent years. A quantum computer can factor an n-bit integer exponentially faster than the best known classical algorithms and it can run the famous quantum search algorithm, sometimes known as Grover’s algorithm, which enables this search method to be speed up substantially, requiring only O(√N) operations, faster than the classical one which requires O(N) operations [1].