39,441 research outputs found
Autonomous Calibration of Single Spin Qubit Operations
Fully autonomous precise control of qubits is crucial for quantum information
processing, quantum communication, and quantum sensing applications. It
requires minimal human intervention on the ability to model, to predict and to
anticipate the quantum dynamics [1,2], as well as to precisely control and
calibrate single qubit operations. Here, we demonstrate single qubit autonomous
calibrations via closed-loop optimisations of electron spin quantum operations
in diamond. The operations are examined by quantum state and process
tomographic measurements at room temperature, and their performances against
systematic errors are iteratively rectified by an optimal pulse engineering
algorithm. We achieve an autonomous calibrated fidelity up to 1.00 on a time
scale of minutes for a spin population inversion and up to 0.98 on a time scale
of hours for a Hadamard gate within the experimental error of 2%. These results
manifest a full potential for versatile quantum nanotechnologies.Comment: 9 pages, 5 figure
Layered architecture for quantum computing
We develop a layered quantum computer architecture, which is a systematic
framework for tackling the individual challenges of developing a quantum
computer while constructing a cohesive device design. We discuss many of the
prominent techniques for implementing circuit-model quantum computing and
introduce several new methods, with an emphasis on employing surface code
quantum error correction. In doing so, we propose a new quantum computer
architecture based on optical control of quantum dots. The timescales of
physical hardware operations and logical, error-corrected quantum gates differ
by several orders of magnitude. By dividing functionality into layers, we can
design and analyze subsystems independently, demonstrating the value of our
layered architectural approach. Using this concrete hardware platform, we
provide resource analysis for executing fault-tolerant quantum algorithms for
integer factoring and quantum simulation, finding that the quantum dot
architecture we study could solve such problems on the timescale of days.Comment: 27 pages, 20 figure
Quantum Internal Model Principle: Decoherence Control
In this article, we study the problem of designing a Decoherence Control for
quantum systems with the help of a scalable ancillary quantum control and
techniques from geometric control theory, in order to successfully and
completely decouple an open quantum system from its environment. We
re-formulate the problem of decoherence control as a disturbance rejection
scheme which also leads us to the idea of Internal Model Principle for quantum
control systems which is first of its kind in the literature.
It is shown that decoupling a quantum disturbance from an open quantum
system, is possible only with the help of a quantum controller which takes into
account the model of the environmental interaction. This is demonstrated for a
simple 2-qubit system wherein the effects of decoherence are completely
eliminated. The theory provides conditions to be imposed on the controller to
ensure perfect decoupling. Hence the problem of decoherence control naturally
gives rise to the quantum internal model principle which relates the
disturbance rejecting control to the model of the environmental interaction.
Classical internal model principle and disturbance decoupling focus on
different aspects viz. perfect output tracking and complete decoupling of
output from external disturbances respectively. However for quantum systems,
the two problems come together and merge in order to produce an effective
platform for decoherence control. In this article we introduce a seminal
connection between disturbance decoupling and the corresponding analog for
internal model principle for quantum systems.Comment: Submitted to IEEE Transactions on Automatic Control, Mar 15 2010. A
basic introduction appeared in 46th IEEE CDC 2007. Acknowledgements: The
authors would like to thank the Center for Quantum Information Science and
Technology at Tsinghua University, R.-B. Wu, J. Zhang, J.-W. Wu, M. Jiang,
C.-W. Li and G.-L. Long for their valuable comments and suggestion
Simulating Ising Spin Glasses on a Quantum Computer
A linear-time algorithm is presented for the construction of the Gibbs
distribution of configurations in the Ising model, on a quantum computer. The
algorithm is designed so that each run provides one configuration with a
quantum probability equal to the corresponding thermodynamic weight. The
partition function is thus approximated efficiently. The algorithm neither
suffers from critical slowing down, nor gets stuck in local minima. The
algorithm can be A linear-time algorithm is presented for the construction of
the Gibbs distribution of configurations in the Ising model, on a quantum
computer. The algorithm is designed so that each run provides one configuration
with a quantum probability equal to the corresponding thermodynamic weight. The
partition function is thus approximated efficiently. The algorithm neither
suffers from critical slowing down, nor gets stuck in local minima. The
algorithm can be applied in any dimension, to a class of spin-glass Ising
models with a finite portion of frustrated plaquettes, diluted Ising models,
and models with a magnetic field. applied in any dimension, to a class of
spin-glass Ising models with a finite portion of frustrated plaquettes, diluted
Ising models, and models with a magnetic field.Comment: 24 pages, 3 epsf figures, replaced with published and significantly
revised version. More info available at http://www.fh.huji.ac.il/~dani/ and
http://www.fiz.huji.ac.il/staff/acc/faculty/biha
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