Eric Peterson

ORCID: 0000-0002-1633-0050
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About
Contact & Profiles
Research Areas
  • Homotopy and Cohomology in Algebraic Topology
  • Algebraic structures and combinatorial models
  • Algebraic Geometry and Number Theory
  • Cloud Computing and Resource Management
  • Quantum Computing Algorithms and Architecture
  • Parallel Computing and Optimization Techniques
  • Quantum Information and Cryptography
  • Advanced Algebra and Geometry
  • Advanced Topics in Algebra
  • Advanced Data Storage Technologies
  • Integrated Circuits and Semiconductor Failure Analysis
  • VLSI and Analog Circuit Testing
  • Fuel Cells and Related Materials
  • Caching and Content Delivery
  • Electrocatalysts for Energy Conversion
  • Low-power high-performance VLSI design
  • Heat Transfer and Optimization
  • Electrostatic Discharge in Electronics
  • Blind Source Separation Techniques
  • Green IT and Sustainability
  • Network Packet Processing and Optimization
  • Interconnection Networks and Systems
  • Radiation Effects in Electronics
  • Brain Tumor Detection and Classification
  • Thermal Analysis in Power Transmission

IBM (United States)
2022

Microsoft (United States)
2014-2021

Rigetti Computing (United States)
2020

Harvard University
2020

Emulate (United States)
2019

Harvard University Press
2018

Illinois Mathematics and Science Academy
2017

Rose–Hulman Institute of Technology
2017

Microsoft Research (United Kingdom)
2013-2016

Microsoft (Finland)
2016

Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we have designed built a composable, reconfigurablefabric accelerate portions large-scale software services. Each instantiation the fabric consists 6x8 2-D torus high-end Stratix V FPGAs embedded into half-rack 48 machines. One FPGA placed...

10.1145/2678373.2665678 article EN ACM SIGARCH Computer Architecture News 2014-06-14

Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we have designed built a composable, reconfigurable fabric accelerate portions large-scale software services. Each instantiation the consists 6×8 2-D torus high-end Stratix V FPGAs embedded into half-rack 48 machines. One FPGA placed each...

10.1109/isca.2014.6853195 article EN 2014-06-01

Machine learning techniques have led to broad adoption of a statistical model computing. The distributions natively available on quantum processors are superset those classically. Harnessing this attribute has the potential accelerate or otherwise improve machine relative purely classical performance. A key challenge toward that goal is hybridize computing resources and traditional with emerging capabilities general purpose processors. Here, we demonstrate such hybridization by training...

10.48550/arxiv.1712.05771 preprint EN other-oa arXiv (Cornell University) 2017-01-01
Harry Levine Arbel Haim Jimmy S. C. Hung Nasser Alidoust Mahmoud Kalaee and 95 more Laura DeLorenzo E. Alex Wollack Patricio Arrangoiz-Arriola Amirhossein Khalajhedayati Rohan Sanil Hesam Moradinejad Yotam Vaknin Aleksander Kubica David Hover Shahriar Aghaeimeibodi Joshua Ari Alcid Chungheon Baek J. Barnett K. Bawdekar Przemysław Bienias H. A. Carson Chen Chen L. Chen Harutiun Chinkezian E M Chisholm Alexander M. Clifford R. Cosmic N. Crisosto A. M. Dalzell Edward D. Davis John D'Ewart Stefan Diez Noel D’Souza Philipp T. Dumitrescu E. S. Elkhouly M. T. Fang Yawen Fang Steven T. Flammia Matthew J. Fling Gonzalo Cerruela García M. K. Gharzai Alexey V. Gorshkov Mason Gray Sebastian Grimberg Arne L. Grimsmo Connor T. Hann Yu He Steven Heidel Steve B. Howell Matthew A. Hunt Jana M. Iverson Ignace Jarrige Liang Jiang William M. Jones R. B. Karabalin Peter J. Karalekas Andrew J. Keller D. Lasi Menyoung Lee Victoria Ly Gregory S. MacCabe Neha Mahuli Guillaume Marcaud Matthew H. Matheny Sam McArdle Gavin McCabe G. Merton Chris Miles Ashley Milsted Anurag Mishra Lorenzo Moncelsi Mahdi Naghiloo Kyungjoo Noh Eric Oblepias Gerson Ortuno John Clai Owens Jason Pagdilao Marco A. Panduro Jean-Philip Paquette Ram N. Patel G. A. Peairs David Perello Eric Peterson Salvatore Ponte Harald Putterman Gil Refael Philip Reinhold Robert Resnick Omar A. Reyna Randolph de la Rosa Rodríguez J. Rose A. H. Rubin M. C. Runyan Colm A. Ryan Abdulrahman Sahmoud Thomas Scaffidi Babar Shah Salome Siavoshi Prasahnt Sivarajah Trenton Skogland

Quantum error correction with erasure qubits promises significant advantages over standard due to favorable thresholds for errors. To realize this advantage in practice requires a qubit which nearly all errors are such errors, and the ability check without dephasing qubit. We demonstrate that “dual-rail qubit” consisting of pair resonantly coupled transmons can form highly coherent qubit, where transmon <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"...

10.1103/physrevx.14.011051 article EN cc-by Physical Review X 2024-03-20

To advance datacenter capabilities beyond what commodity server designs can provide, the authors designed and built a composable, reconfigurable fabric to accelerate large-scale software services. Each instantiation of consists 6 x 8 2D torus high-end field-programmable gate arrays (FPGAs) embedded into half-rack 48 servers. The deployed in bed 1,632 servers FPGAs production successfully used it ranking portion Bing Web search engine by nearly factor two.

10.1109/mm.2015.42 article EN IEEE Micro 2015-05-01

In order to support near-term applications of quantum computing, a new compute paradigm has emerged--the quantum-classical cloud--in which computers (QPUs) work in tandem with classical (CPUs) via shared cloud infrastructure. this work, we enumerate the architectural requirements platform, and present framework for benchmarking its runtime performance. addition, walk through two platform-level enhancements, parametric compilation active qubit reset, that specifically optimize architecture...

10.1088/2058-9565/ab7559 article EN Quantum Science and Technology 2020-02-12

Abstract Running quantum algorithms protected by error correction requires a real time, classical decoder. To prevent the accumulation of backlog, this decoder must process syndromes from device at faster rate than they are generated. Most prior work on time decoding has focused an isolated logical qubit encoded in surface code. However, for code, programs utility will require multi-qubit interactions performed via lattice surgery. A large merged patch can arise during surgery — possibly as...

10.1088/2058-9565/adc6b6 article EN Quantum Science and Technology 2025-03-28

When Sean James, who works on data-center technology for Microsoft, suggested that the company put server farms entirely underwater, his colleagues were a bit dubious. But had earlier served board submarine U.S. Navy, submerging whole data centers beneath waves made perfect sense. . This tactic, he argued, would not only limit cost of cooling machines-an enormous expense many operators-but it could also reduce construction costs, make easier to power these facilities with renewable energy,...

10.1109/mspec.2017.7864753 article EN IEEE Spectrum 2017-02-27

For a native gate set which includes all single-qubit gates, we apply results from symplectic geometry to analyze the spaces of two-qubit programs accessible within fixed number gates. These techniques yield an explicit description this subspace as convex polytope, presented by family linear inequalities themselves via finite calculation. We completely describe in variety familiar example cases, and consequence highlight certain member ``<mml:math...

10.22331/q-2020-03-26-247 article EN cc-by Quantum 2020-03-26

A significant fraction of data stored in cloud storage is rarely accessed. This referred to as cold data; cost-effective for has become a challenge providers. Pelican rack-scale hard-disk based unit designed the basic building block exabyte scale data. In Pelican, server, power, cooling and interconnect bandwidth resources are provisioned by design support workloads; this right-provisioning significantly reduces Pelican's total cost ownership compared traditional disk-based storage.Resource...

10.5555/2685048.2685076 article EN Operating Systems Design and Implementation 2014-10-06

Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we designed built a composable, reconfigurable hardware fabric based on field programmable gate arrays (FPGA). Each in the contains one FPGA, FPGAs within 48-server rack are interconnected over low-latency, high-bandwidth network. We...

10.1145/2996868 article EN Communications of the ACM 2016-10-28

Quilc is an open-source, optimizing compiler for gate-based quantum programs written in Quil or QASM, two popular programming languages. The was designed with attention toward NISQ-era computers, specifically recognizing that each gate has a non-negligible and often irrecoverable cost program's successful execution. Quilc's primary goal to make authoring software simpler exercise by making architectural details less burdensome the author. Using allows one write faster while usually not...

10.1088/2058-9565/ab9acb article EN Quantum Science and Technology 2020-06-09

We describe an optimal procedure, as well its efficient software implementation, for exact and approximate synthesis of two-qubit unitary operations into any prescribed discrete family XX-type interactions local gates. This arises from the analysis manipulation certain polyhedral subsets space canonical Using this, we analyze which small sets cause greatest improvement in expected infidelity under experimentally-motivated error models. For circuit Haar-randomly selected operations, find...

10.22331/q-2022-04-27-696 article EN cc-by Quantum 2022-04-27

Customers who operate large data centers are looking for new ways to reduce their energy consumption and improve the ability support higher compute density. An approach liquid cooling that uses warm water instead of chilled cool system components eliminate or greatly need chillers in center is described this paper. This change would have dual effect reducing infrastructure by as much 50% while increasing supported power densities (relative air cooled solutions). In paper a description hybrid...

10.1109/itherm.2010.5501426 article EN 2010-06-01

Fuel cells are a promising power source for future data centers, offering high energy efficiency, low greenhouse gas emissions, and reliability. However, due to mechanical limitations related fuel delivery, slow adjust sudden increases in center demands, which can result temporary shortfalls. To mitigate the impact of shortfalls, prior work has proposed either perform capping by throttling servers, or leverage storage devices (ESDs) that temporarily provide enough make up shortfall while...

10.1109/hpca.2016.7446085 article EN 2016-03-01

To improve the reliability and energy efficiency of datacenters, as well to reduce infrastructure costs environmental impacts, we demonstrated evaluated use a 10 kW Proton Exchange Membrane Fuel Cell (PEMFC) stack system for powering servers in data center. In this study, designed, tested PEMFC Distributed Generation (DG) prime mover that has high both steady state dynamic operations. The 10kW was designed power server rack eliminate distribution datacenter. electrical properties such...

10.1115/fuelcell2014-6331 article EN 2014-06-30

10.1016/j.jpaa.2012.06.031 article EN Journal of Pure and Applied Algebra 2012-07-15

We consider the use of fuel cells for powering data centers, based on benefits in reliability, capital and operational costs, reduced environmental emissions. Using effectively centers introduces several challenges we highlight key research questions designing a cell center power distribution system. analyze specific configuration design space to quantify cost large scale center, most mature commonly deployed technology, achieving over 20% reduction costs using conservative projections.

10.1145/2525526.2525853 article EN 2013-10-30

We consider the use of fuel cells for powering data centers, based on benefits in reliability, capital and operational costs, reduced environmental emissions. Using effectively centers introduces several challenges we highlight key research questions designing a cell center power distribution system. analyze specific configuration design space to quantify cost large scale center, most mature commonly deployed technology, achieving over 20% reduction costs using conservative projections.

10.1145/2626401.2626410 article EN ACM SIGOPS Operating Systems Review 2014-05-15

In this study, the National Fuel Cell Research Center is working with Microsoft to investigate a new data center concept that includes detailed integration of fuel cell technology into server racks. The could eliminate need for backup power and potentially introduce significant emissions reductions energy savings while enhancing availability. was experimentally verified using hydrogen-fueled 10 kW proton exchange membrane stack system as distributed direct current source, eliminating...

10.1149/07101.0131ecst article EN ECS Transactions 2016-02-12
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