Literature DB >> 9050830

Ensemble quantum computing by NMR spectroscopy.

D G Cory1, A F Fahmy, T F Havel.   

Abstract

A quantum computer (QC) can operate in parallel on all its possible inputs at once, but the amount of information that can be extracted from the result is limited by the phenomenon of wave function collapse. We present a new computational model, which differs from a QC only in that the result of a measurement is the expectation value of the observable, rather than a random eigenvalue thereof. Such an expectation value QC can solve nondeterministic polynomial-time complete problems in polynomial time. This observation is significant precisely because the computational model can be realized, to a certain extent, by NMR spectroscopy on macroscopic ensembles of quantum spins, namely molecules in a test tube. This is made possible by identifying a manifold of statistical spin states, called pseudo-pure states, the mathematical description of which is isomorphic to that of an isolated spin system. The result is a novel NMR computer that can be programmed much like a QC, but in other respects more closely resembles a DNA computer. Most notably, when applied to intractable combinatorial problems, an NMR computer can use an amount of sample, rather than time, which grows exponentially with the size of the problem. Although NMR computers will be limited by current technology to exhaustive searches over only 15 to 20 bits, searches over as much as 50 bits are in principle possible, and more advanced algorithms could greatly extend the range of applicability of such machines.

Mesh:

Year:  1997        PMID: 9050830      PMCID: PMC19968          DOI: 10.1073/pnas.94.5.1634

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

1.  Quantum Computations with Cold Trapped Ions.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-05-15       Impact factor: 9.161

2.  Envisioning a quantum supercomputer.

Authors:  S Lloyd
Journal:  Science       Date:  1994-02-04       Impact factor: 47.728

3.  A potentially realizable quantum computer.

Authors:  S Lloyd
Journal:  Science       Date:  1993-09-17       Impact factor: 47.728

4.  Universal Quantum Simulators

Authors: 
Journal:  Science       Date:  1996-08-23       Impact factor: 47.728

5.  Bulk Spin-Resonance Quantum Computation

Authors: 
Journal:  Science       Date:  1997-01-17       Impact factor: 47.728

6.  DNA solution of hard computational problems.

Authors:  R J Lipton
Journal:  Science       Date:  1995-04-28       Impact factor: 47.728

7.  Molecular computation of solutions to combinatorial problems.

Authors:  L M Adleman
Journal:  Science       Date:  1994-11-11       Impact factor: 47.728

  7 in total
  15 in total

1.  Algorithmic cooling and scalable NMR quantum computers.

Authors:  P Oscar Boykin; Tal Mor; Vwani Roychowdhury; Farrokh Vatan; Rutger Vrijen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

2.  Algorithms on ensemble quantum computers.

Authors:  P Oscar Boykin; Tal Mor; Vwani Roychowdhury; Farrokh Vatan
Journal:  Nat Comput       Date:  2009-05-30       Impact factor: 1.690

3.  Quantum computers.

Authors:  T D Ladd; F Jelezko; R Laflamme; Y Nakamura; C Monroe; J L O'Brien
Journal:  Nature       Date:  2010-03-04       Impact factor: 49.962

4.  Experimental Issues in Coherent Quantum-State Manipulation of Trapped Atomic Ions.

Authors:  D J Wineland; C Monroe; W M Itano; D Leibfried; B E King; D M Meekhof
Journal:  J Res Natl Inst Stand Technol       Date:  1998-06-01

5.  Experimental demonstration of information to energy conversion in a quantum system at the Landauer limit.

Authors:  J P S Peterson; R S Sarthour; A M Souza; I S Oliveira; J Goold; K Modi; D O Soares-Pinto; L C Céleri
Journal:  Proc Math Phys Eng Sci       Date:  2016-04       Impact factor: 2.704

6.  Nuclear-magnetic-resonance quantum calculations of the Jones polynomial.

Authors:  Raimund Marx; Amr Fahmy; Louis Kauffman; Samuel Lomonaco; Andreas Spörl; Nikolas Pomplun; Thomas Schulte-Herbrüggen; John M Myers; Steffen J Glaser
Journal:  Phys Rev A       Date:  2010-03-01       Impact factor: 3.140

7.  High-fidelity control of spin ensemble dynamics via artificial intelligence: from quantum computing to NMR spectroscopy and imaging.

Authors:  Manu Veliparambil Subrahmanian; KowsalyaDevi Pavuluri; Cristina Olivieri; Gianluigi Veglia
Journal:  PNAS Nexus       Date:  2022-08-05

8.  Computational speed-up with a single qudit.

Authors:  Z Gedik; I A Silva; B Çakmak; G Karpat; E L G Vidoto; D O Soares-Pinto; E R deAzevedo; F F Fanchini
Journal:  Sci Rep       Date:  2015-10-08       Impact factor: 4.379

9.  Quantum entanglement at ambient conditions in a macroscopic solid-state spin ensemble.

Authors:  Paul V Klimov; Abram L Falk; David J Christle; Viatcheslav V Dobrovitski; David D Awschalom
Journal:  Sci Adv       Date:  2015-11-20       Impact factor: 14.136

10.  High Resolution non-Markovianity in NMR.

Authors:  Nadja K Bernardes; John P S Peterson; Roberto S Sarthour; Alexandre M Souza; C H Monken; Itzhak Roditi; Ivan S Oliveira; Marcelo F Santos
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

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