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Quantum and classical computing

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Title: Quantum and classical computing


1
Quantum and classical computing
THEORETICAL COMPUTER SCIENCE
FER 16.9.2003.
Dalibor HRG
2
How to think?
3
Review / Classical computing
  • Classical computing
  • Turing machine (A.Turing,1937.), computability
    (functions and predicates), Computational
    Complexity theory of classical computation.
  • Bools algebra and circuits, today computers,
    (logic).
  • Algorithms and complexity classes (P, P/poly,
    PSPACE, NP, NP-complete, BPP,) measuring how
    efficient is algorithm, can it be useful?

4
Review / Classical computing
  • Famous mathematical questions today
  • P predicates which are decidable in polynomial
    time (head moves of Turing machine)
  • PSPACE predicates decidable in polynomial space
    (cells on Turing machines track)

5
Review / Classical computing
  • NP we can check some solution in polynomial
    time, but finding it, is a difficult problem.
  • Predicate
  • SAT , HC (hamiltonian cycle),TSP (travelling
    salesman problem), 3-SAT,
  • Karps reducebility
  • NP complete each predicate from NP is
    reducible to 3 SAT predicate.

6
Review / Classical computing
7
Review / Classical computing
NANOTECHNOLOGY
8
Review / Quantum computing
  • (R. Feynman,Caltech,1982.) impossibility to
    simulate quantum system!
  • (D. Deutsch, Oxford, CQC, 1985.) definition of
    Quantum Turing machine, quantum class (BQP) and
    first quantum algorithm (Deutsch-Jozsa).
  • Postulates of quantum mechanics, superposition of
    states, interference, unitary operators on
    Hilbert space, tensorial calculation,

9
Quantum mechanics
  • Fundamentals dual picture of wave and particle.
  • Electron wave or particle?

10
Quantum mechanics
11
Waves!
12
Secret of the electron
Does electron interfere with itself?
13
Quantum mechanics
  • Discrete values of energy and momentum.
  • State represent object (electrons spin, fotons
    polarization, electrons path,) and its square
    amplitude is probability for outcome when
    measured.
  • Superposition of states, nothing similar in our
    life.
  • Interference of states.

14
Qubit and classical bit
  • Bit in a discrete moment is either 0 (0V) or
    1 (5V).
  • Qubit vector in two dimensional complex space,
    infinite possibilities and values.
  • Physically, what is the qubit?

15
Qubit
16
System of N qubits
  • Unitary operators legal operations on qubit.
  • Unitary operators holding the lengths of the
    states. Important!!

17
Tensors
  • For representing the state in a quantum register.
  • Example, system with two qubits
  • State in this systems is

18
Quantum gates
  • Quantum circuits (one qubit) Pauli-X (UNOT),
    Hadamard (USRN).
  • (two qubits) CNOT (UCN).

19
Quantum parallelism
  • All possible values of the n bits argument is
    encoded in the same time in the n qubits! This is
    a reason why the quantum algorithms have
    efficiency!

20
Quantum algorithms (1)
Initial state
Quantum operators
Measurement
Time
21
Quantum algorithms (2)
  • Idea
  • 1. Make superposition of initial state, all
    values of argument are in n qubits.
  • 2. Calculate the function in these arguments so
    we have all results in n qubits.
  • 3. Interference ( Walsh-Hadamard operator on the
    state of n qubits or register) of all values in
    the register. We obtain a result.

22
(No-cloning theorem) Wooters Zurek 1982
  • Unknown quantum state can not be cloned.
  • Basis for quantum cryptology (or quantum key
    distribution).

23
Quantum cryptology (1)
Alice
Bob
Quantum bits
Eve
24
Quantum cryptology (2)
Public channel for authentication
25
Quantum teleportation Bennett 1982
  • It is possible to send qubit without sending it,
    with two classical bits as a help.

Classical bits.
EPR
Alice Bob share EPR (Einstein,Podolsky,Rosen)
pair.
26
Present algorithms?
  • Deutsch-Josza
  • Shor - Factoring 1994.,
  • Kitaev - Factoring
  • Grover - Database searching 1996.,
  • Grover - Estimating median

27
Who is trying?
  • Aarhus
  • Berkeley
  • Caltech
  • Cambridge
  • College Park
  • Delft
  • DERA (U.K.)
  • École normale supérieure
  • Geneva
  • HP Labs (Palo Alto and Bristol)
  • Hitachi
  • IBM Research (Yorktown Heights and Palo Alto)
  • Innsbruck
  • Los Alamos National Labs
  • McMaster
  • Max Planck Institute-Munich
  • Melbourne
  • MIT
  • NEC
  • New South Wales
  • NIST
  • NRC
  • Orsay
  • Oxford
  • Paris
  • Queensland
  • Santa Barbara
  • Stanford
  • Toronto
  • Vienna
  • Waterloo
  • Yale
  • many others

28
Corporations?
29
Corporations?
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