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Quantum Computer Implementations
Christopher Monroe University of Michigan Department of Physics US Advanced Research and Development Activity US Army Research Office US National Security Agency National Science Foundation
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ENIAC (1946)
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The first solid-state transistor (Bardeen, Brattain & Shockley, 1947)
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Moore’s Law # Transistors 109 108 Pentium III 107 Pentium Pro 106 Pentium i486 i386 1. The “real” Moore’s law is coming to a close. Molecular transistors, beyond that? 105 80286 104 8086 103 1975 1980 1985 1990 1995 2000 2005 2010 2015 Projected Source: Intel
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“There's Plenty of Room at the Bottom”
(1959 APS annual meeting) Richard Feynman “When we get to the very, very small world – say circuits of seven atoms - we have a lot of new things that would happen that represent completely new opportunities for design. Atoms on a small scale behave like nothing on a large scale, for they satisfy the laws of quantum mechanics…”
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“qubit” = two-level system
A quantum computer hosts quantum bits which can store superpositions of 0 and 1 classical bit: or 1 quantum bit: |0 + |1 |1 “qubit” = two-level system |1 |0 |0 Benioff (1980) Feynman (1982)
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N qubits can store 2N numbers simultaneously
GOOD NEWS… N qubits can store 2N numbers simultaneously Example: N=3 qubits = a 0 |000 + a 1 |001 + a 2 |010 + a 3 |011 a 4 |100 + a 5 |101 + a 6 |110 + a 7 |111 …BAD NEWS… Measurement gives random result e.g., |011 Good-bad-good. Exponential storage. X2 example of parallelism.
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quantum interference before measurement
…GOOD NEWS! quantum interference before measurement quantum gates depends on all inputs |0 |0 |0 |0 |0 |1 |0 |1 |1 |0 |1 |1 |1 |1 |1 |0 e.g., (|0 + |1)|0 |0|0 + |1|1 quantum XOR gate: superposition entanglement Shor started it all Deutsch (1985) Shor (1994) Grover (1996) fast number factoring
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Quantum Entanglement: Einstein’s “Spooky action-at-a-distance”
“superposition” “entangled superposition” or or
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Quantum computer hardware requirements
Must make states like |000…0 + |111…1 x + strong coupling between qubits weak coupling to environment 2. Must measure state with high efficiency strong coupling to environment
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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0.3 mm
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Trick: apply sinusoidal electric field (rotate saddle)
Ion Trap Primer + E(r) NO! E = 0 saddle point z E(r) ? + Trick: apply sinusoidal electric field (rotate saddle) RF (PAUL) TRAP
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Dynamics of a single ion in a rf trap
e = ion charge m = ion mass V0 = rf voltage amplitude d = trapsize x + [k2 cosWt]x = 0 k2 = eV0/md2 time position x “secular” motion at frequency wtrap k2/W MHz “micromotion” at frequency W 100 MHz Mathieu Equation: x(t) bounded for k << W
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3D ion trap geometry endcap d V ring endcap
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Michigan Ion Trap 2 mm
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0.2 mm |0 |1
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“Perfect” quantum measurement of a single atom
state |0 state |1 # photons collected in 200ms Probability 30 20 10 0.2 ion fluoresces 108 photons/sec laser laser ion remains dark 30 20 10 1 # photons collected in 200ms >99% detection efficiency!
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Atomic Cd+ energy levels
or Be+, Mg+, Sr+, Ca+, Ba+, Cd+, Hg+,…. P3/2 215nm ~108 photons/sec S1/2 |1 15GHz |0
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Coherent transitions between |0 and |1
P3/2 2-photon “stimulated Raman” transitions S1/2 |1 |0 Coherent transitions between |0 and |1
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Mapping: (|0 + |1) |0m |0 (|0m + |1m) S1/2 |1
2-photon “stimulated Raman” transitions Mapping: (|0 + |1) |0m |0 (|0m + |1m) • 2 1 • S1/2 |1 2 1 |0
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Pulse Raman beams for time t Pulse Detection beams for 200 ms step t
Prepare in |0|rest Pulse Raman beams for time t Pulse Detection beams for 200 ms step t Single ion transitions between |0|rest and |1 |moving 20 40 60 80 100 1 t (ms) Prob(|0) CM, et. al., Phys. Rev. Lett. 75, 4714 (1995)
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Trapped Ion Quantum Computer
laser cool to rest laser j k map jth qubit to collective motion laser j k flip kth qubit if collective motion laser j k map collective motion back to jth qubit Cirac and Zoller, Phys. Rev. Lett. 74, 4091 (1995)
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State-of-the-art: Four-qubit quantum logic gate
|0000 |0000 + eif|1111 Sackett, et al., Nature 404, 256 (2000)
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fluctuating electric patch potentials on surface
Why only 4 ? More ions: difficult (& slow) to isolate single mode of motion Decoherence of motion: fluctuating electric patch potentials on surface 0.5 mm technical, not fundamental limitation
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Scaling proposal 1: the “quantum CCD”
(Kielpinski, Monroe, Wineland, submitted to Nature) “refrigerator” ions suppress motional decoherence few mm quantum memory
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“accumulator”
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target quantum bits entangled laser pulse
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motion head target pushing laser
Scaling proposal 2: ion trap array and head Cirac and Zoller, Nature 404, (2000). motion head target pushing laser
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Optical Lattices (trapped neutral atoms)
m = -aE U = -m•E = -a|E|2 U(x) = -a|E(x)|2 a = polarizability lasers induce electric dipole that interacts with laser itself! l/2
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moving neutral atoms qubits together for entanglement
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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A B Individual photons Quantum Entanglement! qubit: |0 = zero photons
|1 = one photon 50/50 A weak laser B |1 = |0A|1B + |1A|0B Quantum Entanglement! send single photons
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single photon source: optical parametric downconversion
X visible (or infrared) (l/2) ultraviolet (l) c(2) nonlinear crystal (e.g., ADP, BBO,…) BUT… not scalable! Prob(downconversion)~10-8
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cavity-QED: deterministically creating and storing
single photons in a resonator qubit: |0 = zero photons in cavity |1 = one photon in cavity L Interaction strength between atom & photon U = -matom•E1 (Vol)1/2 L = 1 mm, t > 10-3sec requires Reflectivity > % M1 M2 atom
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Quantum Network Cirac, Zoller, Kimble, Mabuchi, Phys. Rev. Lett
W(t) W(-t)
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H.J. Kimble (CalTech) M. Chapman (Georgia Tech) G. Rempe (Max Planck Inst., Garching)
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H. J. Kimble, CalTech
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Superconducting charges
Nakamura (NEC-Japan) Schoelkopf (Yale) Devoret (Yale)
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Single-qubit rotations on a Cooper-pair Box
|N |N+1 (N=# Cooper pairs) Nakamura, et. al., Nature 398, 786 (1999)
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Superconducting currents
J.E. Mooij,… Science 285, 1036 (1999). quantized flux qubit states
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Semiconductor Quantum Dots
e.g., Duncan Steel (University of Michigan) Optical Field AlGaAs GaAs AlGaAs
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Excitonic Rabi oscillations
~10.5 ps ~18.5 ps Exciton Population Pulse Area T. Stievater, et al. (submitted)
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Optical Field AlGaAs GaAs AlGaAs GaAs AlGaAs
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Nuclear Magnetic Resonance
Gershenfeld and Chuang, Science 275, 350 (1997) liquid state, room temperature NMR several “qubit operations” demonstrated, BUT: no entanglement not scalable (signal decreases exponentially with # qubits) (not quantum computing?)
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Electrons floating on liquid helium
Platzman and Dykman, Science 284 (1999) 1-dimensional “atom”
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geometry
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readout positive bias applied imaging channel plate
… electrons tunnel out only if in state 2
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Fabrication of submerged electrodes
(J. Goodkind, UCSD)
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon
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Phosphorus atoms in Silicon
Kane, Nature 393, 133 (1998) U. Maryland, Los Alamos, Australia NOTE: Bruce Kane will give Physics Dept. colloquium Wed., Nov. 7, 4PM qubit stored in phosphorus nuclear spin (P: spin-1/2) (Si: spin 0)
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Single-qubit rotations:
electron/nuclear spin-spin interaction (hyperfine interaction) Two-qubit entangling gates: bring adjacent donor electrons together (exchange interaction)
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Physical Implementations
1. Individual atoms and photons a. ion traps b. atoms in optical lattices c. photon downconversion and cavity-QED 2. Superconductors a. Cooper-pair boxes (charge qubits) b. rf-SQUIDS (flux qubits) 3. Semiconductors quantum dots 4. Other condensed-matter a. NMR b. electrons floating on liquid helium c. single phosphorus atoms in silicon works scales
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Quantum Computing Abyss
state-of-the-art experiments theoretical requirements for “useful” QC 5 # quantum bits >1000 # quantum bits <100 # logic gates >109 noise reduction error correction ? new technology efficient algorithms
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