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DTSTART:19700308T020000
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DTSTAMP:20181221T160727Z
LOCATION:D175
DTSTART;TZID=America/Chicago:20181111T165800
DTEND;TZID=America/Chicago:20181111T171400
UID:submissions.supercomputing.org_SC18_sess143_ws_drbsd112@linklings.com
SUMMARY:Amplitude-Aware Lossy Compression for Quantum Circuit Simulation
DESCRIPTION:Workshop\nData Management, Hot Topics, Scientific Computing, W
 orkshop Reg Pass\n\nAmplitude-Aware Lossy Compression for Quantum Circuit 
 Simulation\n\nWu, Di, Cappello, Finkel, Alexeev...\n\nClassical simulation
  of quantum circuits is crucial for evaluating and validating the design o
 f new quantum algorithms. However, the number of quantum state amplitudes 
 increases exponentially with the number of qubits, leading to the exponent
 ial growth of the memory requirement for the simulations. In this paper, w
 e present a new data reduction technique to reduce the memory requirement 
 of quantum circuit simulations. We apply our amplitude-aware lossy compres
 sion technique to the quantum state amplitude vector to trade the computat
 ion time and fidelity for memory space. The experimental results show that
  our simulator only needs 1/16 of the original memory requirement to simul
 ate Quantum Fourier Transform circuits with 99.95% fidelity. The reduction
  amount of memory requirement suggests that we could increase 4 qubits in 
 the quantum circuit simulation comparing to the simulation without our tec
 hnique. Additionally, for some specific circuits, like Grover's search, we
  could increase the simulation size by 18 qubits.
URL:https://sc18.supercomputing.org/presentation/?id=ws_drbsd112&sess=sess
 143
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