Exploration and Control of Condensed Exploration and Control of - - PowerPoint PPT Presentation

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Exploration and Control of Condensed Exploration and Control of - - PowerPoint PPT Presentation

Exploration and Control of Condensed Exploration and Control of Condensed Matter Qubits Qubits Matter NSF-ITR medium group - new award 2002 K. B. Whaley Chemistry M. F. Crommie Physics J. Clarke Physics J. C. Davies Physics A. Zettl


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SLIDE 1

Exploration and Control of Condensed Exploration and Control of Condensed Matter Matter Qubits Qubits

NSF-ITR medium group - new award 2002

  • K. B. Whaley

Chemistry

  • M. F. Crommie

Physics

  • J. Clarke

Physics

  • J. C. Davies

Physics

  • A. Zettl

Physics

  • S. Sastry

Electrical Engineering and Computer Science

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SLIDE 2

Grand Challenge:

Quantum Processing

Control and manipulation

  • f quantum states

Quantum computation and cryptography New quantum science

Long-Term Results:

Quantum computer

  • exponential speedups
  • breaks modern cryptography
  • quantum cryptography to the

rescue ...

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SLIDE 3

Nanoscience Operates at the Physical Limit

  • f Information Processing

Scanning probe microscopies Writing with atoms Entangled quantum states and teleportation Natural nanostructures: enzymes, DNA Artificial nanostructures: nanotubes, nanocrystals, organic dendrimers Nanoscale architectures: microfluidics, nanopores, membranes

Information Based on Quantum Phenomena Information Based on Molecular Populations

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SLIDE 4
  • A physical system providing a scalable collection
  • f qubits
  • Ability to initialize qubits in a known starting state
  • Long decoherence time, much longer than the

gate operation time (Td/tg~10,000)

  • A universal set of quantum gates
  • Individual qubit measurement capability
  • Ability to interconvert stationary/flying qubits
  • Ability to faithfully transmit flying qubits

DiVincenzo 1995, 2001

|1> |0>

Requirements for Computation/Communication

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SLIDE 5

UCB Collaboration Between Physics, Chemistry, EECS:

Condensed Matter Qubits

+

“Scalable” - architecture, nanofabrication, nanoscale synthesis,... Main issues: I) Measurement, Control II) Decoherence III) Entanglement Experiment: 1) 31P Dopant atoms - Davis 2) Magnetic adsorbates - Crommie 3) Peapod Nanotubes - Zettl 4) SC Flux rings - Clarke Theory: 1) Decoherence, control - Whaley 2) Control - Sastry

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SLIDE 6
  • New perspectives in coherent control
  • optimal control:
  • time
  • universality
  • minimal decoherence
  • perfect entanglers
  • gate sequences
  • feedback
  • Overcoming decoherence
  • decoherence-free subspaces
  • fault tolerance, error thresholds
  • error correction and feedback stabilization
  • Encoding for optimization
  • encoded universality (single physical interaction)

Theory

Whaley, Sastry

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SLIDE 7

Decoherence-free subspaces/subsystems:

  • collective decoherence

Zanardi & Rasetti Mod. Phys. Lett. B 11, 1085 (1997) Lidar, Chuang, & Whaley PRL 81, 2594 (1998)

  • modulated (striped) collective decoherence
  • K. Brown, unpublished
  • correlated errors

Lidar, Bacon, Kempe, Whaley PRA 63, 022306 (2001)

  • generalization to subsytems

Knill et al. PRL 84, 2525 (2000)

∑ ⊗ =

α α α

B S HI

DFS condition for unitary evolution on a subspace:

α α α α

i c i S ~ ~ =

with the system-bath interaction

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SLIDE 8

exploiting DFS for Quantum Computation

degeneracy implies safety make use of physics of decoherence mechanisms - symmetry first!

  • robust to perturbing interactions
  • combine with quantum error correction -

concatenated DFS-QECC

  • compute on a DFS, e.g., exchange-only QC
  • fault tolerant computation possible on DFS

Bacon et al, Phys Rev A 60 1944 (1999) Lidar et al, Phys Rev Lett 82 14556 (1999) Bacon et al, Phys Rev Lett

85 1758 (2000)

Kempe et al, Phys Rev A

63 042307 (2001)

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SLIDE 9

Heisenberg exchange interaction

  • E is universal with encoding*
  • introduce tensor structure, eg. blocks with 3 qubits*,**

*Kempe, Bacon, Lidar, Whaley, Phys. Rev. A 63:042307 (2001) **DiVincenzo, Bacon, Kempe, Burkard, Whaley, NATURE 408 339 (2000)

, i j i j

σ σ = ⋅ E

  • efficient implementation

numerical search for optimal gates**

serial coupling - 19 operations for CNOT, 4 operations for 1-qubit parallel coupling - 7 operations for CNOT, 3 operations for 1-qubit

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SLIDE 10

Semiconductor nanostructures as spintronic materials (DARPA/ARO)

  • Experiments (Awschalom, UCSB):
  • long lifetimes (100 ns)
  • multiple g-factors
  • Theory:
  • tight binding atomistic analysis
  • linear optics, surface reconstruction (1995-99)
  • g-factors, magneto-optical properties
  • local spin densities, nanocrystal spin exchange
  • functional design of coupled nanostructures
  • Eg. - calculations of g-factors shows strong effect of shape

(dot/rod) on anisotropy, consistent with multiple g-factors observed for specific sizes

  • J. Schrier (POSTER)