From Flipping Qubits to Programmable Quantum Processors Drinking party Budmerice, 1 st May 2003 Vladimír Bužek, Mário Ziman, Mark Hillery, Reinhard Werner,

Slides:



Advertisements
Similar presentations
University of Strathclyde
Advertisements

Quantum Walks, Quantum Gates, and Quantum Computers Andrew Hines P.C.E. Stamp [Palm Beach, Gold Coast, Australia]
Quantum Logic and Quantum gates with Photons
Quantum Computing MAS 725 Hartmut Klauck NTU
ICT Information Day Vladimír Bužek Projects QUBITS Quantum gates for information processing (QGATES) Quantum applications (QAP) – 10MEURO.
Introduction to Quantum Information Processing CS 467 / CS 667 Phys 467 / Phys 767 C&O 481 / C&O 681 Lecture 11 (2005) Richard Cleve DC 3524
Quantum Information Stephen M. Barnett University of Strathclyde The Wolfson Foundation.
Quantum limits in optical interferometry R. Demkowicz-Dobrzański 1, K. Banaszek 1, J. Kołodyński 1, M. Jarzyna 1, M. Guta 2, K. Macieszczak 1,2, R. Schnabel.
1 Introduction to Quantum Information Processing QIC 710 / CS 667 / PH 767 / CO 681 / AM 871 Richard Cleve DC 2117 / RAC 2211 Lecture.
Trapped Ions and the Cluster State Paradigm of Quantum Computing Universität Ulm, 21 November 2005 Daniel F. V. JAMES Department of Physics, University.
Emergence of Quantum Mechanics from Classical Statistics.
1 Multiphoton Entanglement Eli Megidish Quantum Optics Seminar,2010.
Quantum Error Correction Joshua Kretchmer Gautam Wilkins Eric Zhou.
DENSITY MATRICES, traces, Operators and Measurements
Universal Optical Operations in Quantum Information Processing Wei-Min Zhang ( Physics Dept, NCKU )
Quantum Computing Ambarish Roy Presentation Flow.
Gate robustness: How much noise will ruin a quantum gate? Aram Harrow and Michael Nielsen, quant-ph/0212???
Quantum Circuits for Clebsch- GordAn and Schur duality transformations D. Bacon (Caltech), I. Chuang (MIT) and A. Harrow (MIT) quant-ph/ more.
The Integration Algorithm A quantum computer could integrate a function in less computational time then a classical computer... The integral of a one dimensional.
UNIVERSITY OF NOTRE DAME Xiangning Luo EE 698A Department of Electrical Engineering, University of Notre Dame Superconducting Devices for Quantum Computation.
Introduction to Quantum Information Processing Lecture 4 Michele Mosca.
Advanced Computer Architecture Lab University of Michigan Quantum Noise and Distance Patrick Cassleman More Quantum Noise and Distance Measures for Quantum.
Quantum Mechanics from Classical Statistics. what is an atom ? quantum mechanics : isolated object quantum mechanics : isolated object quantum field theory.
Quantum Computing Lecture 1 Michele Mosca. l Course Outline
Simulating Physical Systems by Quantum Computers J. E. Gubernatis Theoretical Division Los Alamos National Laboratory.
NO INPUT IS DETECTED ON RGB1. Quantum Circuits for Clebsch- Gordon and Schur duality transformations D. Bacon (Caltech), I. Chuang (MIT) and A. Harrow.
School of Physics & Astronomy FACULTY OF MATHEMATICAL & PHYSICAL SCIENCE Parallel Transport & Entanglement Mark Williamson 1, Vlatko Vedral 1 and William.
1 Introduction to Quantum Information Processing QIC 710 / CS 768 / PH 767 / CO 681 / AM 871 Richard Cleve QNC 3129 Lecture 18 (2014)
1 Introduction to Quantum Information Processing CS 667 / PH 767 / CO 681 / AM 871 Richard Cleve DC 2117 Lecture 14 (2009)
Alice and Bob’s Excellent Adventure
1 Introduction to Quantum Information Processing QIC 710 / CS 667 / PH 767 / CO 681 / AM 871 Richard Cleve DC 2117 Lecture 16 (2011)
Fundamental gravitational limitations to quantum computing Rafael A. Porto (Carnegie Mellon U. & University of the Republic, Uruguay.) In collaboration.
Weak Values in Quantum Measurement Theory - Concepts and Applications - Yutaka Shikano 07M01099 Department of Physics, Tokyo Institute of Technology “Master.
Quantum-optics experiments in Olomouc Jan Soubusta, Martin Hendrych, Jan Peřina, Jr., Ondřej Haderka Radim Filip, Jaromír Fiurášek, Miloslav Dušek Antonín.
Jian-Wei Pan Decoherence-free sub-space and quantum error-rejection Jian-Wei Pan Lecture Note 7.
Engineering of arbitrary U(N) transformation by quantum Householder reflections P. A. Ivanov, E. S. Kyoseva, and N. V. Vitanov.
 Quantum State Tomography  Finite Dimensional  Infinite Dimensional (Homodyne)  Quantum Process Tomography (SQPT)  Application to a CNOT gate  Related.
The Road to Quantum Computing: Boson Sampling Nate Kinsey ECE 695 Quantum Photonics Spring 2014.
Optical-latice state & process tomography (cont.) Discrimination of non-orthogonal states "Best guess" approach Unambiguous discrimination POVMs versus.
Quantum Dense coding and Quantum Teleportation
QUANTUM INFORMATION INTRODUCTION The quantum-classical border:
What is Qu antum In formation and T echnology? Prof. Ivan H. Deutsch Dept. of Physics and Astronomy University of New Mexico Second Biannual Student Summer.
Quantum Cryptography Slides based in part on “A talk on quantum cryptography or how Alice outwits Eve,” by Samuel Lomonaco Jr. and “Quantum Computing”
Quantum correlations with no causal order OgnyanOreshkov, Fabio Costa, ČaslavBrukner Bhubaneswar arXiv: December2011 Conference on Quantum.
1 Modeling Quantum Information Systems Paul E. Black National Institute of Standards and Technology Andrew W. Lane University of Kentucky.
Quantum Computing Reversibility & Quantum Computing.
LPHYS’07 – Leon – August 22 nd 2007 Alessandro Zavatta, Valentina Parigi, Myungshik Kim, and Marco Bellini Istituto Nazionale di Ottica Applicata (INOA)
A Monomial matrix formalism to describe quantum many-body states Maarten Van den Nest Max Planck Institute for Quantum Optics Montreal, October 19 th 2011.
Quantum Convolutional Coding Techniques Mark M. Wilde Communication Sciences Institute, Ming Hsieh Department of Electrical Engineering, University of.
A simple nearest-neighbour two-body Hamiltonian system for which the ground state is a universal resource for quantum computation Stephen Bartlett Terry.
8.4.2 Quantum process tomography 8.5 Limitations of the quantum operations formalism 量子輪講 2003 年 10 月 16 日 担当:徳本 晋
Quantum info tools & toys for quantum gravity LOOPS `05 Daniel Terno Perimeter Institute.
DYNAMICS OF OPEN Q-SYSTES FROM A PERSPECTIVE OF QIT IMS, Imperial College, London, 18 January 2007 Vladimír Bužek Research Center for Quantum Information.
1 Introduction to Quantum Information Processing CS 467 / CS 667 Phys 467 / Phys 767 C&O 481 / C&O 681 Richard Cleve DC 3524 Course.
Multipartite Entanglement and its Role in Quantum Algorithms Special Seminar: Ph.D. Lecture by Yishai Shimoni.
IPQI-2010-Anu Venugopalan 1 qubits, quantum registers and gates Anu Venugopalan Guru Gobind Singh Indraprastha Univeristy Delhi _______________________________________________.
Fidelities of Quantum ARQ Protocol Alexei Ashikhmin Bell Labs  Classical Automatic Repeat Request (ARQ) Protocol  Qubits, von Neumann Measurement, Quantum.
Quantum Computation Stephen Jordan. Church-Turing Thesis ● Weak Form: Anything we would regard as “computable” can be computed by a Turing machine. ●
1 An Introduction to Quantum Computing Sabeen Faridi Ph 70 October 23, 2007.
Richard Cleve DC 2117 Introduction to Quantum Information Processing CS 667 / PH 767 / CO 681 / AM 871 Lecture 16 (2009) Richard.
Jean Christian Boileau (University of Toronto)
M. Stobińska1, F. Töppel2, P. Sekatski3,
Еugene Grichuk, Margarita Kuzmina, Eduard Manykin
Linear Quantum Error Correction
Quantum Information Theory Introduction
Quantum State and Process Measurement and Characterization
OSU Quantum Information Seminar
Quantum computation with classical bits
Richard Cleve DC 2117 Introduction to Quantum Information Processing CS 667 / PH 767 / CO 681 / AM 871 Lecture 16 (2009) Richard.
Presentation transcript:

From Flipping Qubits to Programmable Quantum Processors Drinking party Budmerice, 1 st May 2003 Vladimír Bužek, Mário Ziman, Mark Hillery, Reinhard Werner, Francesco DeMartini

Flipping a Bit – NOT Gate 0

0 1

Universal NOT Gate NOT gate in a computer basis : Poincare sphere – state space is antipode of

Universal NOT Gate: Problem is antipode of - Spin flipping is an inversion of the Poincare sphere - This inversion preserves angels - The Wigner theorem - spin flip is either unitary or anti-unitary operation - Unitary operations are equal to proper rotations of the Poincare sphere - Anti-unitary operations are orthogonal transformations with det=-1 - Spin flip operation is anti-unitary and is not CP - In the unitary world the ideal universal NOT gate which would flip a qubit in an arbitrary (unknown) state does not exist

Measurement-based vs Quantum Scenario Measurement-based scenario: optimally measure and estimate the state then on a level of classical information perform flip and prepare the flipped state of the estimate Quantum scenario: try to find a unitary operation on the qubit and ancillas that at the output generates the best possible approximation of the spin-flipped state. The fidelity of the operation should be state independent (universality of the U-NOT)

Quantum Clickology measurement  conditional distribution on a discrete state space of the aparatus A: observables with eigenvalues l i System Apparatus Measurement a priori distribution on the state space W  of the system  joint probability distribution

Bayesian inversion from distribution on A to distribution on W – invariant integration measure Quantum Bayesian Inference Reconstructed density operator given the result l i K.R.W. Jones, Ann. Phys. (N.Y.) 207, 140 (1991) V.Bužek, R.Derka, G.Adam, and P.L.Knight, Annals of Physics (N.Y.), 266, 454 (1998)

Optimal Reconstructions of Qubits average fidelity of estimation Estimated density operator on average Construction of optimal POVM’s – maximize the fidelity F POVM via von Neumann projectors – Naimark theorem Optimal decoding of information Optimal preparation of quantum systems S.Massar and S.Popescu, Phys. Rev. Lett. 74, 1259 (1995) R.Derka, V.Bužek, and A.K.Ekert, Phys. Rev. Lett 80, 1571 (1998)

Quantum Scenario: Universal NOT Gate Theorem Among all completely positive trace preserving maps The measurement-based U-NOT scenario attains the highest possible fidelity, namely V.Bužek, M.Hillery, and R.F.Werner Phys. Rev. A 60, R2626 (1999)

Quantum Logical Network for U-NOT V.Bužek, M.Hillery, and R.F.Werner, J. Mod. Opt. 47, 211 (2000) C-NOT gate:

No-Cloning Theorem & U-QCM W.Wootters and W.H.Zurek, Nature 299, 802 (1982) V.Bužek and M.Hillery, Phys. Rev. A 54, 1844 (1996) S.L.Braunstein, V.Bužek, M.Hillery, and D.Bruss, Phys. Rev. A 56, 2153 (1997)

U-NOT via OPA Original qubit is encoded in a polarization state of photon This photon is injected into an OPA excited by mode-locked UV laser Spatial modes and are described by the operators and Initial state of a qubit is The other mode is in a vacuum Under given conditions OPA is SU(2) invariant Evolution – stimulated emission Evolution – spontanous emission

Optical Parametric Amplifier Z BS 1 M D2*D2* D2D2 DaDa MPMP k2k2 k1k1 Q Q Q WP 2 PBS 2 * PBS 2  nm kPkP BBO Type II WP 2 * Q DbDb A.Lamas-Linares, C.Simon, J.C.Howell, and D.Bouwmeester, Science 296, 712 (2002) F.DeMartini, V.Bužek, F.Sciarino, and C.Sias, Nature 419, 815 (2002)

Optimal Universal-NOT Gate

There is Something in This Network S.L.Braunstein, V.Bužek, and M.Hillery, Phys. Rev. A 63, (2001)

Quantum Information Distributor S.L.Braunstein, V.Bužek, and M.Hillery, Phys. Rev. A 63, (2001) - Covariant device with respect to SU(2) operations - POVM measurements eavesdropping - programmable beamsplitter

POVM Measurement V.Bužek, M.Roško, and M.Hillery, unpublished

Model of Classical Processor Classical processor Heat data register program register output register

Quantum Processor Quantum processor Quantum processor – fixed unitary transformation U dp H d – data system, S( H d ) – data states H p – program system, S( H p ) – program states data register program register output data register Quantum processor

Two Scenarios Measurement-based strategy - estimate the state of program Quantum strategy – use the quantum program register conditional (probabilistic) processors unconditional processors

C-NOT as Unconditional Quantum Processor program state general pure state unital operation, since program state is 2-d and we can apply 2 unitary operations

Question Is it possible to build a universal programmable quantum gate array which take as input a quantum state specifying a quantum program and a data register to which the unitary operation is applied ? on a qubit an  number of operations can be performed

No-go Theorem P dp no universal deterministic quantum array of finite extent can be realized on the other hand – a program register with d dimensions can be used to implement d unitary operations by performing an appropriate sequence of controlled unitary operations M.A.Nielsen & I.L.Chuang, Phys. Rev. Lett 79, 321 (1997)

C-NOT as Probabilistic Quantum Processor Vidal & Cirac – probabilistic implementation of G.Vidal and J.I.Cirac, Los Alamos arXiv quant-ph/ (2000) G.Vidal, L.Mesanes, and J.I.Cirac, Los Alamos arXiv quant-ph/ (2001).

C-NOT as Probabilistic Quantum Processor Correction of the error – new run of the processor with

“universal” processor projective yes/no measurement probability of success: Universal Probabilistic Processor -Quantum processor U dp -Data register  d, dim H d = D -Quantum programs U k = program register  p, dim H p = Nielsen & Chuang: -N programs  N orthogonal states -Universal quantum processors do not BHZ: -Probabilistic implementation -{U k } operator basis, -program state Example: Data register = qudit, program register = 2 qudits

Set of operations Implementation of Maps via Unconditional Quantum Processors U 

Description of Quantum Processors definition of U dp via “Kraus operators” normalization condition induced quantum operation general pure program state can be generalized for mixed program states

Inverse Problem: Quantum Simulators “Given a set  x of quantum operations. Is it possible to design a processor that performs all these operations?” 1.Continous set of unitaries = question of universality 2.Phase damping channel = model of decoherence 3.Amplitude damping channel = model exponetial decay NO YES NO

Quantum Loops Quantum processor data program Analogy of “for-to” cycles in classical programming Introducing loops control system – “quantum clocks” Halting problem – how (when) to stop the computation process

Conclusions & Open Questions programmable quantum computer – programs via quantum states programs can be outputs of another QC some CP maps via unconditional quantum processors arbitrary CP maps via probabilistic programming controlled information distribution (eavesdropping) simulation of quantum dynamics of open systems set of maps induced by a given processor (loops) quantum processor for a given set of maps quantum multi-meters M.Hillery, V.Buzek, and M.Ziman: Phys. Rev. A 65, (2002). M.Dusek and V.Buzek: Phys. Rev. A 66, (2002). M.Hillery, M.Ziman, and V.Buzek: Phys. Rev. A 66, (2002)