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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160725Z
LOCATION:D161
DTSTART;TZID=America/Chicago:20181111T111000
DTEND;TZID=America/Chicago:20181111T113000
UID:submissions.supercomputing.org_SC18_sess156_ws_pmes108@linklings.com
SUMMARY:Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Co
 mpression
DESCRIPTION:Workshop\nArchitectures, Heterogeneous Systems, Quantum Comput
 ing, Workshop Reg Pass\n\nMemory-Efficient Quantum Circuit Simulation by U
 sing Lossy Data Compression\n\nWu, Di, Cappello, Finkel, Alexeev...\n\nIn 
 order to evaluate, validate, and refine the design of new quantum algorith
 ms or quantum computers, researchers and developers need methods to assess
  their correctness and fidelity. This requires the capabilities of quantum
  circuit simulations. However, the number of quantum state amplitudes incr
 eases exponentially with the number of qubits, leading to the exponential 
 growth of the memory requirement for the simulations.\n\nIn this work, we 
 present our memory-efficient quantum circuit simulation by using lossy dat
 a compression.  Our empirical data shows that we reduce the memory require
 ment to 16.5% and 2.24E-06 of the original requirement for QFT and Grover'
 s search, respectively. This finding further suggests that we can simulate
  deep quantum circuits up to 63 qubits with 0.8 petabytes memory.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pmes108&sess=sess1
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