quantum information processing as told by: david g. cory department of nuclear science &...

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Quantum Informati on Processin g as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferome try Dmitry Pushin Dmitry Pushin Physics, MIT Physics, MIT

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Page 1: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Quantum Information Processing

as told by: David G. CoryDepartment of Nuclear Science & Engineering

Massachusetts Institute of Technology

Neutron Interferometr

yDmitry PushinDmitry PushinPhysics, MITPhysics, MIT

Page 2: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Dr. Sekhar Ramanathan Dr. Sekhar Ramanathan

Dr. Timothy Havel

Professor Seth Lloyd

Dr. Sergio Valenzuela

Dr. Will Oliver

Dr. John Bernard

Dr. M. Arif, Dr. M. Arif, NISTNIST

University of WaterlooUniversity of WaterlooProfessor Joseph EmersonProfessor Joseph EmersonProfessor Raymond LaflammeProfessor Raymond LaflammeDr. Jonanthan BaughDr. Jonanthan Baugh

Page 3: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Dr. Timothy Havel

Professor Seth Lloyd

Dr. Sekhar Ramanathan Dr. Sekhar Ramanathan Dr. Joseph EmersonDr. Joseph EmersonPaola Cappellaro Michael Henry Jonathan HodgesSuddhasattwa Sinha Jamie Yang

Page 4: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

1900 1910 1920 1930

Planck - photons

1940 1950 1960

Bell - locality testsBell - locality tests

Bohr - old QT, interpretation Bohr - old QT, interpretation Dirac - relativistic wave-equationDirac - relativistic wave-equation

EinsteinEinstein

Heisenberg - new QTHeisenberg - new QT

Schrödinger - wave equationSchrödinger - wave equation

Landauer - Landauer - information is physicalinformation is physical

1970 1980

Page 5: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

1900 1920 1940 1960 1980 2000 2020

Old QTOld QT New QTNew QT Tests Tests QIPQIP

HarocheHarocheAspectAspect ZeilingerZeilinger

Page 6: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Quantum mechanics permits information processing beyond the classical limit

These new possibilities are

Macroscopic Quantum CoherenceMacroscopic Quantum CoherenceInterferometer

Neutron

Beam

Sample

Phase Shifter

Detectors

H-beam

O-beam

Page 7: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

3-blade, interferometer3-blade, interferometer

Size ~ 10 cmSize ~ 10 cm

NeutronsNeutrons

2.1 Å2.1 Å

~ 1800 m/s~ 1800 m/s

~ 50 µs / 10 cm~ 50 µs / 10 cm

1 neutron every 0.35 s1 neutron every 0.35 s

Page 8: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

Bragg scattering Bragg scattering

Each neutron Each neutron

is coherently spread is coherently spread

over two pathsover two paths

ψ = 12

upper + lower( )

Page 9: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

Ignore the beam Ignore the beam

that is scattered that is scattered

out of the out of the

interferometerinterferometer

No information lost.No information lost.

The transmitted and reflected beams The transmitted and reflected beams

carry the same information,carry the same information,

Page 10: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

ψ = 12

eiφ upper + lower( )

ψ = 12

upper + lower( )

Third blade recombines Third blade recombines

the beams and allows the beams and allows

them to interfere.them to interfere.

Page 11: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

ψO =12

eiφtrr upper + rrt lower( )t - transmittedt - transmitted

r - reflectedr - reflected

ψH =12

eiφtrt upper + rrr lower( )

Page 12: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

IO = ψO2 = t 2 r 4 1+ cos φ( )[ ]Measure the neutronMeasure the neutron

Intensity.Intensity.

In this case that is the In this case that is the

number of neutronsnumber of neutrons

per unit time.per unit time.

IH = ψH2 = r 2 t 4 + r 4

( ) − r 2 t 2 cos φ( )[ ]

Page 13: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Interference

re iφ2 ′ k

242

0 trA ψ=

][6242

0 rrtB +=ψ

A:

B:

|path I |path II

t e iφ1 k

k

C:

rre i ˜ φ 2 k

rt e i ˜ φ 1 ′ k

D:

3He detectors

H-beam

O-beampath I

path II

ABCD

O-beam:

rrte i ˜ φ 1 k + trre i ˜ φ 2 k

H-beam:

trte i ˜ φ 1 ′ k + rrre i ˜ φ 2 ′ k

IO = rrte i ˜ φ 1 k + trre i ˜ φ 2 k2

= A[1+ cos(Δφ)]

IH = trte i ˜ φ 1 ′ k + rrre i ˜ φ 2 ′ k 2

= B − Acos(Δφ)

Page 14: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

Clothier et al, (1991) PRA 44, 5357Clothier et al, (1991) PRA 44, 5357

Neu

ton

s/ 3

min

Neu

ton

s/ 3

min

phasephase

Page 15: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

an example of macroscopic quantum coherencean example of macroscopic quantum coherence

A simple exampleA simple example

of probability amplitudes.of probability amplitudes.

Set Set so that I so that IHH=0.=0.

IH ∝ 1− cos φ( )[ ]

IO ∝ 1+ cos φ( )[ ]

IO ∝ 2

IO ∝1

IO ∝1

IH ∝1

Page 16: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Coherent Neutron ImagingCoherent Neutron Imaging

ψ phase ⏐ → ⏐ ⏐ ψ0eiλ N (z)bc (z)dz∫

z − path

N(z) - particle density

bc z( ) - coherent scattering length

IO ∝ 1+ cos kz( )[ ]

wedge - linear phase ramp

φ(z) = λNbcz tan ϑ( )

ϑ - wedge angle

k = λNbc tan ϑ( )

Page 17: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Spatially encoding of the neutron beam

3He detector

position sensitive detector

wedge

Neutron beam

By spatially encoding beam we are introducinga new degree of freedom. By tracing this degree we can:• measure spatial properties of materials (softmatter)• use it as controlled decoherence in QIP

Page 18: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Coherent Neutron ImagingCoherent Neutron Imaging

IO k( )∝ 1+ w(z)cos kz( )∫ dz[ ]

sample, assume bc is spatially invariant.

φs z( ) = λbcNw(z)

w(z) - sample width

wedge - linear phase ramp

φ(z) = λNbcz tan ϑ( )

ϑ - wedge angle

k = λNbc tan ϑ( )

Vary k to collect a complete set of Vary k to collect a complete set of

Fourier components. The resolutionFourier components. The resolution

depends on S/N not the detector.depends on S/N not the detector.

Page 19: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Spatial encoding

- No sample

- Step-like sample

The fit is to the known sample geometry, parameters are step location and size.Notice that each point is 50 minutes of averaging.

Page 20: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Spin Polarized Neutrons

Polarizer

Analyzer

Detector

π

π/2

+ = not

Page 21: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Interference and spin

re iφ2 ′ k ↓

242

0 trA ψ=

][6242

0 rrtB +=ψ

A:

B:

|path I |path II

t e iφ1 k ↑

k ↑

C:

rre i ˜ φ 2 k ↓

rt e i ˜ φ 1 ′ k ↑

D:

H-beam

O-beam path I

path II

ABCD

O-beam:

1

2r( rte i ˜ φ 1 + trre i ˜ φ 2 ) k ↑

H-beam:

trte i ˜ φ 1 ′ k ↓ + rrre i ˜ φ 2 ′ k ↑

IO = 12 rrte i ˜ φ 1 + trre i ˜ φ 2

2= 1

2 A[1+ cos(Δφ)]

IH = trte i ˜ φ 12

+ rrre i ˜ φ 22

= B

/2

Polarizer

Analyzer

+ = not

Page 22: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Spin based phase gratingSpin based phase grating

Page 23: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Coherence Measurements

Fussed Silica Wedgesused to move vertically one beam with respect to another Phase Flag

Neutron beam

To the detectors

Contrast measurements directly yields the coherence function

A neutron interferometer is a macroscopicA neutron interferometer is a macroscopic

quantum coherence device, we will measure quantum coherence device, we will measure

the coherence length of the neutrons wave-function.the coherence length of the neutrons wave-function.

η=1− λ2 Nbc

coherence function

Γ Δ( ) = ψ 0( ) ψ Δ( )

Radius of neutron = 0.7 fmRadius of neutron = 0.7 fm

Δc =1

2δk≡ coherence length

δk ≡ spread in momentum

Page 24: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Coherent neutron scatteringCoherent neutron scattering

3-blade interferometer with 3-blade interferometer with

prisms to vertically shift the beam.prisms to vertically shift the beam.

ψout =12

ψ0 (z) + ψ0(z + Δ)( )

Adjust phase for only O-beam.Adjust phase for only O-beam.Add second interferometer.Add second interferometer.

IO Δ( )∝ S z( )∫ S z + Δ( )dz

S z( ) = N z( )bc z( )

First example of coherent neutron wave-funtion First example of coherent neutron wave-funtion over two interferometersover two interferometers

Page 25: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Interferometer

Neutron

Beam

Sample

Phase Shifter

Detectors

H-beam

O-beam

When will we have a neutron Interferometer at MIT?

Sample

Top View

Neutron wave functioncoherently split byBragg diffraction.

3Hedetectors

Phase Shifter

Δ

H-beam

O-beampath I

path II

10 cm

Page 26: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Each crystal blade acts as a beam splitter.

Page 27: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

with vibrationswith vibrations

Vibrations change theVibrations change the

momentum of the n andmomentum of the n and

thus the Bragg angle.thus the Bragg angle.

Note, the twoNote, the two

paths changepaths change

in opposite in opposite

directions.directions.

IH ∝ 1− cos φ( )[ ]

IO ∝ 1+ cos φ( )[ ]

Even low frequency vibrations are deadly.Even low frequency vibrations are deadly.

Page 28: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Neutron interferometryNeutron interferometry

with vibrationswith vibrations

IH ∝ 1− cos φ( )[ ]

IO ∝ 1+ cos φ( )[ ]

Low frequency vibrations are OK.Low frequency vibrations are OK.

No No interferenceinterference

τc = 50μs

υ c = 20kHz

Page 29: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Interferometer

Neutron

Beam

Sample

Phase Shifter

Detectors

H-beam

O-beam

When will we have a neutron Interferometer at MIT?

• • Multiple interferometers for controlling neutron information.Multiple interferometers for controlling neutron information.

• • Multiple paths to code for errors.Multiple paths to code for errors.

• • Spin dependent measurements to correct for momentum spread.Spin dependent measurements to correct for momentum spread.

Page 30: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Stern-Gerlach (details)

π/2 π/2π

Gradient magnets

AnalyzerPolarizer

Sample

Detector

II

III IV

V VI

x↑

)( xx2

1↓+↑

( ) ( ) )( xxexe2

1 xxixi ΔτΔστσ +↓+↑ +

( ) ( ) )( xxexe2

1 xxixi ΔτΔστσ +↑+↓ +

( ) ( ) )( xexe2

1 xxixi ↑+↓ + τΔστσ

( )[ ( ) ] xe xxxi ↑+− τΔστσ

( ) ( ) ( )[ ( ) ]∫ +−= Ωρ τΔστσ dexqS xxxi

where 2

m

vL

dxdB

x ⎟⎠⎞

⎜⎝⎛=γΔ

I

I

II

III

IV

V

VI

Page 31: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

1998 1999 2000 2001 2002

J. C. Gore C. BreenS. Kumaresan

N. Seiberlich J. S. Hodges K. EdmondsJ. Yang

30 60 900.4

0.6

0.8

1

Noise Strength

Ent

angl

emen

t Fid

elit

y

Decoherence Free Subspace

22

12

211121 |2

|22

1|

2|

2|

2|

2 xyyxyx JNOTC −−−− −−−−−−=

Construction and Implementation of Logic Gates on two Spins

0

0.5

1

Quantum and Classical Channel

2003

A. GorshkovM. Henry

0

0

0 H

H( )n

H

Journal of Magnetic Resonance

Concepts in Magnetic Resonance

New Journal of Physics

Physical Reviews A

Center for Materials Science and Engineering Summer Students (NSF)

Physical Reviews A

2004

D. Khanal

EIT

Page 32: Quantum Information Processing as told by: David G. Cory Department of Nuclear Science & Engineering Massachusetts Institute of Technology Neutron Interferometry

Dr. Timothy Havel

Professor Seth Lloyd

Dr. Sekhar Ramanathan Dr. Sekhar Ramanathan Dr. Joseph EmersonDr. Joseph EmersonDr. Grum TeklemariamDr. Greg BoutisNicolas BoulantPaola Cappellaro Zhiying (Debra) ChenHyung Joon ChoDaniel Greenbaum Michael Henry Jonathan HodgesSuddhasattwa Sinha Jamie Yang