An Update on Google's Quantum Computing Initiative

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An Update on Google’s Quantum Computing Initiative

January 31, 2019 [email protected]

Copyright 2018 Google LLC

Our Brains are Wired for Newtonian Physics

Brains that recognize and anticipate behaviors of Heat, Light, Momentum, Gravity, etc. have an Evolutionary Advantage.

Quantum phenomena contradict our intuition.

Quantum Phenomena Contradict Intuition

Interference, “Erasure”, etc.

0

(1)

Quantum Theory Explains Cleanly…

...but the Math looks Strange

1

i

1
√2
1
√2

1 i i 1

How can a Particle be On Two Paths at the Same Time?

1
1

i

√2

Pu

1
√2

1 i i 1

(P)

r

Copyright 2017-2019 Google LLC

Superposed States, Superposed Information

l0〉

( |0〉+|1〉 )2
= |00〉+|01〉+|10〉+|11〉
|0〉 + |1〉

l1〉

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01

Macroscopic QM Enables New Technology

Control of single quantum systems, to quantum computers

  • 1 nm
  • 1 μm
  • 1 mm

H atom wavefunctions:

Problem: Light is 1000x larger

Large “atom” has room for complex control

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Xmon: Direct coupling + Tunable Transmons

● Direct qubit-qubit capacitive coupling ● Turn interaction on and off with frequency

g

control

  • “OFF”
  • “ON”

f10 f21

Δ

η

Coupling g

SQUID

  • Qubit
  • Qubit

Coupling rate Ωzz ≈ 4ηg2 / Δ2

  • Qubit A
  • Qubit B

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Logic Built from Universal Gates

  • Classical circuit:
  • Quantum circuit:

1 qubit rotation 2 qubit CNOT No copy
1 bit NOT 2 bit AND Wiring fan-out
1 Input Gates
2 Input Gates

(space+time )

time

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Execution of a Quantum Simulation

arXiv:1512.06860

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Quantum Simulation Results, H2 Molecule

Control

Qubits

arXiv:1512.06860

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Office of the CTO

Space-Time Volume of a Quantum Gate Computation

2 qubit gate fidelity = 99.5%

Uncorrected Gate “Circuits” Limited by Fidelity of Operations and Decoherence Times

Fidelity is the Third Dimension

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Gate Depth

Goals for Near-Term Scaling

10-2

Error correction threshold

“Quantum Supremacy”

10-3 10-4

Useful error corrected QC

Near-term applications

Classically simulatable

?

  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108

Number of Qubits

Copyright 2017-2019 Google LLC

Which computer is better at landing samples the “Bright Spots” ?

Quantum “Supremacy”

Do what classical CPUs Cannot do:

2n

index k

0

Ideal distribution

Multiple errors

>50 Qubits, >40 Steps

2n

ordered index k

0

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Toward Universal Fault-Tolerant QC

● Qubit error rates ~10-2-10-3 per operation

● Universal QC requires ~10-10 ● Error correction:
○ Low error logical qubit made with many physical qubits
● Surface code error correction:
○ 2D array of qubits (n.n. coupling) ○ Modest error rates (1% threshold,
0.1% target)
Useful at 106 physical qubits

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9 Qubit: Good performance, Limited Scaling

9 qubit device has good performance
● ErrCZ down to 0.6% ● ErrSQ < 0.1% ● ErrRO = 1% Limited to 1D connectivity (planar geometry)

Scale-up strategy: move qubits, control to different planes

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Bump-Bond Architecture

● Bond together two separate chips
○ Qubits → “Chip”

“Chip” bumps

○ Control → “Carrier”

“Carrier”

● Superconducting interconnect ● Use lossless vacuum as dielectric

In TiN Al

30 μm

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Qubits (chip)

Control (substrate)

Scaling to 2D

Design must be “tileable” (control fits in qubit footprint)
● Readout resonator ● XY coupler ● SQUID coupler

Need to shield qubits from interior wire routing
● Small coupling to 50Ω line will decohere qubit

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“Foxtail” 22 Qubit Device

“Chip”
● Qubits

“Carrier”
Readout XY control Z control
●●●

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2D Unit Cell

● Diagonal for surface code: all “measure” qubits on same line
● Condense footprint across 2 chips ● Introduce shielded wiring between qubits ● Tile unit cell for 2D array Unit cell: Condensed, diagonal linear chain

Readout line

RO XYZ
RO XYZ
RO XYZ

  • RO
  • RO

XYZ
RO XYZ

rotate

XYZ

Unit cell designed for surface code

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“Bristlecone” Architecture

Tile
12 unit cells of 6 qubits = 72 qubits

Tile for a 2D grid of n.n. coupled qubits
Bonus: Looks like a pine cone!

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Photo: Erik Lucero

“72 qubits cold in fridge”

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Early Quantum Computing Applications

Quantum
Numerical

Simulation
Optimization

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C’est quoi ce Cirq?

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Cloud Quantum Computing Workflow

Application Frameworks OpenFermion (chemistry) IsingFlow (optimization) TensorFlow (ML)
Quantum Hardware

results

quantum hardware language

qhl qhl

Quantum Engine results
Python framework for writing quantum programs
Quantum

Simulator

results

Programs Jobs Results

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Is this a good quantum circuit?

CZ a b CZ b c CZ c d CZ d e CZ e f CZ f g CZ g h CZ h i

Copyright 2017-2019 Google LLC

Is this a good quantum circuit?

abcdefghi

CZ a b CZ b c CZ c d CZ d e CZ e f CZ f g CZ g h CZ h i

No: large depth

Copyright 2017-2019 Google LLC

Is this a good quantum circuit? Attempt #2

CZ a b CZ c d CZ e f CZ g h

CZ b c CZ d e CZ f g CZ h i

Copyright 2017-2019 Google LLC

Is this a good quantum circuit? Attempt #2

abcdefghi

CZ a b CZ c d CZ e f CZ g h

CZ b c CZ d e CZ f g CZ h i

Copyright 2017-2019 Google LLC

Is this a good quantum circuit? Attempt #2

abcdefghi

CZ a b CZ c d CZ e f CZ g h

adgbehcf

CZ b c CZ d e CZ f g CZ h i

i

No: Does Not Map to Physical Topology

Copyright 2017-2019 Google LLC

Is this a good quantum circuit? Attempt #3

CZ a b CZ c f CZ e d CZ g h

CZ b c CZ f e CZ d g CZ h i

Copyright 2017-2019 Google LLC

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