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Quantum Computing. Jeff Goymerac Christine Wang. Timeline. 2000 - 7 -qubit NMR quantum computer built 2001 - Shor's algorithm executed on 7 qubit computer 2005 - First qubyte created 2009 - Yale creates solid-state quantum processor
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Quantum Computing Jeff Goymerac Christine Wang
Timeline • 2000 - 7-qubit NMR quantum computer built • 2001 - Shor's algorithm executed on 7 qubit computer • 2005 - First qubyte created • 2009 - Yale creates solid-state quantum processor • 2011 - D-Wave announces commercial quantum computer • 2011– Record computation of 3x5=15 • 1981 - Feynman suggests quantum computer model • 1985 - David Deutsch describes first quantum Turing machine • 1994 - Shor's algorithm created • 1996 - Grover’s algorithm discovered • 1998 - First 3 qubit NMR computer • 2000 - 5-qubit NMR quantum computer built
Quantum Computer: A computation device that makes direct use of quantum-mechanical phenomenon such as superposition and entanglement to perform operations on data
Qubit (Quantum bits) • Unit of quantum information • 100 qubits can store 2100 numberssimultaneously • Classical bits have to be in onestate or another while qubits canbe in a superposition of both states at the same time • Superposition is best described by Schrödinger’s thought Experiment (Schrödinger’s cat) 1,267,650,600,228,229,401,496,703,205,376
Quantum Gates • Basic quantum circuit operating on a small number of qubits • Reversible • Represented byunitary matrices
Quantum Circuit • Model for quantum computation • Sequence of quantum circuits • Input: qubits • Output: measurement of some or all of the qubits
Quantum Algorithms • Implementation of quantum circuits • Often non-deterministic • Provide the correct solution only with a certain known probability • Use quantum superposition, quantum entanglement • Quantum entanglement: phenomenon when the quantum state of each particle cannot be described independently
Quantum Algorithm Techniques • Quantum Fourier Transform • Shor’s Algorithm • Amplitude Amplification • Grover’s Algorithm
Quantum Fourier Transform • Linear transformation on qubits • The quantum Fourier transform on N points is defined by:The best quantum Fourier transform algorithms known today require only gates to achieve an efficient approximation
Shor’s Algorithm • Used for factoring integer numbers • Consists of two parts • A reduction of the factoring problem to the problem of order-finding, which can be done on a classical computer. • A quantum algorithm to solve the order-finding problem
Shor’s Algorithm • Classical Part • Pick a pseudo-random number • Compute . This may be done using the Euclidean algorithm. • If , then there is a nontrivial factor of N, so we are done. • Otherwise, use the period-finding subroutine to find , the period of the following function:i.e. the smallest integer for which . • If is odd, go back to step 1. • If , go back to step 1. • The factors of are . We are done.
Shor’s Algorithm • Quantum Part • Start with a pair of input and output qubit registers with qubits each, and initialize them to where runs from to . • Construct as a quantum function and apply it to the above state, to obtain
Shor’s Algorithm • Quantum Part • Apply the quantum Fourier transform on the input register. This leaves us in the following state: • Perform a measurement. We obtain some outcome in the input register and in the output register. Since is periodic, the probability to measure some is given byAnalysis now shows that this probability is higher, the closer is to an integer.
Shor’s Algorithm • Quantum Part • Turn into an irreducible fraction, and extract the denominator , which is a candidate for . • Check if . If so, we are done. • Otherwise, obtain more candidates for r by using values near , or multiples of . If any candidate works, we are done. • Otherwise, go back to step 1 of the subroutine.
Shor’s Algorithm • Exponentially faster than the best known classical algorithm for factoring • vs • Implies that public key cryptography might be easily broken, given a sufficiently large quantum computer
Amplitude Amplification • Allows the amplification of a chosen subspace of a quantum state • Generalizes the idea behind the Grover’s search algorithm • Discovered in 1997 by Gilles Brassard and Peter Hoyer • Independently rediscovered by Lov Grover in 1998 • Can be used to obtain a quadratic speedup over several classical algorithms
Grover’s Algorithm • Used for searching an unstructured databaseor unordered list • Initialize the system to the state • Perform the following “Grover iteration” times. The function , which is asymptotically Is: • Apply the operator • Apply the operator
Grover’s Algorithm • Perform the measurement . The measurement result will be with probability approaching 1 for . From , may be obtained.
Grover’s Algorithm • Quadratically faster than the best possible classical algorithm for the same task • vs • Uses storage space
Quantum Computing Classical computing • The final state must be measured. This collapses the quantum state down to a classical distribution • Comparison based quantum sorting algorithms, take steps • Can read the final state • Comparison based classical sorting algorithms, take steps • Given sufficient computational resources, a classical computer could be made to simulate any quantum algorithm.
