BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211207T054756Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211116T103000
DTEND;TZID=America/Chicago:20211116T110000
UID:submissions.supercomputing.org_SC21_sess152_pap268@linklings.com
SUMMARY:Distributed Quantum Computing with QMPI
DESCRIPTION:Paper\n\nDistributed Quantum Computing with QMPI\n\nHäner, Ste
 iger, Hoefler, Troyer\n\nPractical applications of quantum computers requi
 re millions of physical qubits and it will be challenging for individual q
 uantum processors to reach such qubit numbers. It is therefore timely to i
 nvestigate the resource requirements of quantum algorithms in a distribute
 d setting, where multiple quantum processors are interconnected by a coher
 ent network. We introduce an extension of the Message Passing Interface (M
 PI) to enable high-performance implementations of distributed quantum algo
 rithms. In turn, these implementations can be used for testing, debugging 
 and resource estimation. In addition to a prototype implementation of quan
 tum MPI, we present a performance model for distributed quantum computing,
  SENDQ. The model is inspired by the classical LogP model, making it usefu
 l to inform algorithmic decisions when programming distributed quantum com
 puters. Specifically, we consider several optimizations of two quantum alg
 orithms for problems in physics and chemistry, and we detail their effects
  on performance in the SENDQ model.\n\nTag: Cloud and Distributed Computin
 g, Emerging Technologies, Quantum Computing, State of the Practice\n\nRegi
 stration Category: Tech Program Reg Pass
END:VEVENT
END:VCALENDAR