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Quantum Information Summer School 2019, IBA M. Sohaib Alam Rigetti Computing 15 July, 2019 The worlds first full-stack quantum computing company. 16-qubit QPUs currently operating on our cloud platform 100+ employees w/ $119M raised Home


  1. Quantum Information Summer School 2019, IBA M. Sohaib Alam Rigetti Computing 15 July, 2019

  2. The world’s first full-stack quantum computing company. 16-qubit QPUs currently operating on our cloud platform 100+ employees w/ $119M raised Home of Fab-1, the world’s first commercial quantum integrated circuit fab Located in Berkeley, Calif. (R&D Lab) and Fremont, Calif.

  3. Classical computers have fundamental limits Transistor scaling Returns to Energy consumption parallelization Economic limits with 10bn for Amdahl’s law Exascale computing project next node fab has its own power plant Ultimate single-atom limits Power density can melt chips

  4. Why build a quantum computer? Quantum computing power* scales exponentially with qubits N bits can exactly simulate log N qubits This compute unit.... Commodore 64 AWS M4 Instance Entire Global Cloud 1 Million x Commodore 64 1 Billion x (1 Million x Commodore 64) 10 Qubits 30 Qubits 60 Qubits can exactly simulate: * More precisely ...

  5. Why build a quantum computer? For N qubits every time step (~100ns*) is an exponentially large 2 N x 2 N complex matrix multiplication Crucial details: - limited number of multiplications (hundreds to thousands) due to noise - not arbitrary matrices (need to be easily constructed on a QC) - small I/O, poly(N)-bits in and N-bits out The “big-memory small pipe” mental model for quantum computing poly(N) bits N bits 2 N x 2 N N qubits * for superconducting qubit systems

  6. Qubit States Qubit: Kets: Measurement yields: - ‘0’ with probability - ‘1’ with probability

  7. Qubit States Qubit: Kets: Bras Brackets (Inner Product)

  8. Qubit States Qubit: Kets: Bras Normalization:

  9. Qubit States Qubit: Kets: Measurement yields: - ‘0’ with probability - ‘1’ with probability

  10. Qubit States: Bloch Sphere

  11. Qubit States: Multi-qubit states Multiple qubits: Tensor product: Vector form:

  12. Qubit States: Multi-qubit states Associative: Not commutative:

  13. Qubit Operations Unitary Operators: (Gates) Preserve inner product:

  14. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector

  15. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Probability of 0 Probability of 1

  16. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector

  17. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector | ⍺ | 2 = Probability of 0 | 𝛾 | 2 = Probability of 1

  18. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector

  19. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector ...

  20. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector

  21. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector

  22. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Probability of bitstring x

  23. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector)

  24. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) | ⍺ x | 2 = Probability of bitstring x

  25. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices

  26. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices Unitary Matrices

  27. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices Unitary Matrices Component Ops Boolean Gates Tensor products of matrices Tensor products of matrices

  28. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices Unitary Matrices Component Ops Boolean Gates Tensor products of matrices Tensor products of matrices Sampling

  29. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices Unitary Matrices Component Ops Boolean Gates Tensor products of matrices Tensor products of matrices Sampling Born rule | ⍺ x | 2 = Probability of bitstring x

  30. Bits vs. Probabilistic Bits vs. Qubits Bits Probabilistic Bits Qubits State (single unit) Bit Real vector Complex vector State (multi-unit) Bitstring Prob. Distribution (stochastic vector) Wavefunction (complex vector) Operations Boolean Logic Stochastic Matrices Unitary Matrices Component Ops Boolean Gates Tensor products of matrices Tensor products of matrices Sampling Born rule Measurement

  31. Qubit Operations: Pauli gates

  32. Qubit Operations: Identity gate

  33. Qubit Operations: Pauli-X ( NOT ) gate

  34. Qubit Operations: Pauli-Y gate

  35. Qubit Operations: Pauli-Z gate

  36. Qubit Operations: Hadamard gate

  37. Qubit Operations: Hadamard gate

  38. Qubit Operations: Multiple qubits Examples:

  39. Qubit Operations: Multiple qubits

  40. Qubit Operations: Quantum Circuits X X H

  41. Quantum Programs X from pyquil import Program, get_qc from pyquil.gates import X p = Program(X(0)) qc = get_qc('9q-generic-qvm') results = qc.run_and_measure(p, trials=10)[0] print (results) [1 1 1 1 1 1 1 1 1 1]

  42. Quantum Programs X from pyquil import Program, get_qc from pyquil.gates import X, MEASURE [[1] [1] p = Program() [1] p.declare('ro', 'BIT', 1) [1] p.inst(X(0)) [1] p.inst(MEASURE(0, 'ro')) p.wrap_in_numshots_loop(shots=10) [1] [1] qc = get_qc('9q-generic-qvm') [1] results = qc.run(qc.compile(p)) [1] [1]] print (results)

  43. Quantum Programs X from pyquil import Program, get_qc from pyquil.gates import X, MEASURE DECLARE ro BIT[1] X 0 p = Program() MEASURE 0 ro[0] p.declare('ro', 'BIT', 1) p.inst(X(0)) p.inst(MEASURE(0, 'ro')) p.wrap_in_numshots_loop(shots=10) qc = get_qc('9q-generic-qvm') results = qc.run(qc.compile(p)) print (p)

  44. Quantum Programs X from pyquil import Program, get_qc H from pyquil.gates import X, H, MEASURE p = Program() [[0 1] ro = p.declare('ro', 'BIT', 2) [1 1] p.inst(H(0)) [0 1] p.inst(X(1)) p.inst(MEASURE(0, ro[0])) [1 1] p.inst(MEASURE(1, ro[1])) [1 1] p.wrap_in_numshots_loop(shots=10) [0 1] [1 1] qc = get_qc('9q-generic-qvm') [0 1] results = qc.run(qc.compile(p)) [0 1] print (results) [0 1]]

  45. Quantum Programs X Y H Z from pyquil import Program, get_qc from pyquil.gates import X, Y, Z, H, MEASURE [[1 0] p = Program() [1 0] ro = p.declare('ro', 'BIT', 2) [0 0] p += Program(H(0), X(1), Z(0), Y(1), MEASURE(0, ro[0]), MEASURE(1, ro[1])) [1 0] p.wrap_in_numshots_loop(shots=10) [1 0] [0 0] qc = get_qc('9q-generic-qvm') [1 0] results = qc.run(qc.compile(p)) [1 0] print (results) [0 0] [0 0]]

  46. Quantum Dice Goal: Create an N-sided dice using a quantum computer.

  47. Quantum Dice Question: What gate would we use?

  48. Quantum Dice Question: How many qubits would we use?

  49. Qubit Operations: Projections Project a ket/bra along a given ket/bra via its corresponding projection operator. the corresponding projection operator is given by the outer product For some e.g.

  50. Qubit Operations: Controlled Operations If qubit 1 is in the state |0> , apply I (identity) to qubit 0 Else if qubit 1 is in the state |1>, apply U to qubit 0 For example,

  51. Entangled States A state that cannot be written as a product state, i.e. An example of a state that is not entangled: An example of a state that is entangled:

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