Pierre-Alexandre Blanche

Dr. Pierre-Alexandre Blanche

University of Arizona
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 November 2010 in Nature
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Journal Article
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Pierre-Alexandre BlanchePierre-Alexandre Blanche
Pierre-Alexandre Blanche
ABA. Bablumian
A. Bablumian
RVR. Voorakaranam
R. Voorakaranam
CCC. Christenson
C. Christenson
WLW. Lin
W. Lin
NPN. Peyghambarian
N. Peyghambarian

1 February 2008 in Nature
Verified
Journal Article
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STSavaş Tay
Savaş Tay
Pierre-Alexandre BlanchePierre-Alexandre Blanche
Pierre-Alexandre Blanche
RVR. Voorakaranam
R. Voorakaranam
ATA. V. Tunç
A. V. Tunç
WLW. Lin
W. Lin
NPN. Peyghambarian
N. Peyghambarian

22 August 2016
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Conference Paper
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MGMonia Ghobadi
Monia Ghobadi
RMRatul Mahajan
Ratul Mahajan
APAmar Phanishayee
Amar Phanishayee
NDNikhil Devanur
Nikhil Devanur
JKJanardhan Kulkarni
Janardhan Kulkarni
DKDaniel Kilper
Daniel Kilper
We explore a novel, free-space optics based approach for building data center interconnects. It uses a digital micromirror device (DMD) and mirror assembly combination as a transmitter and a photodetector on top of the rack as a receiver (Figure 1). Our approach enables all pairs of racks to establish direct links, and we can reconfigure such links (i.e., connect different rack pairs) within 12 us. To carry traffic from a source to a destination rack, transmitters and receivers in our interconnect can be dynamically linked in millions of ways. We develop topology construction and routing methods to exploit this flexibility, including a flow scheduling algorithm that is a constant factor approximation to the offline optimal solution. Experiments with a small prototype point to the feasibility of our approach. Simulations using realistic data center workloads show that, compared to the conventional folded-Clos interconnect, our approach can improve mean flow completion time by 30-95% and reduce cost by 25-40%.

29 April 2019 in Optica
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YWYoumin Wang
Youmin Wang
GZGuangya Zhou
Guangya Zhou
XZXiaosheng Zhang
Xiaosheng Zhang
KKKyungmok Kwon
Kyungmok Kwon
Pierre-Alexandre BlanchePierre-Alexandre Blanche
Pierre-Alexandre Blanche
MWMing C. Wu
Ming C. Wu
Optical-phased arrays (OPAs) enable complex beamforming, random-access beam pointing, and simultaneous scan and tracking of multiple targets by controlling the phases of two-dimensional (2D) coherent emitters. So far, no OPA can achieve all desirable features including large 2D arrays, high optical efficiency, wideband operation in wavelengths, fast response time, and large steering angles at the same time. Here, we report on a large-scale 2D OPA with novel microelectro-mechanical-system (MEMS)-actuated phase shifters. Wavelength-independent phase shifts are realized by physically moving a grating element in the lateral direction. The OPA has 160×160 independent phase shifters across an aperture of 3.1  mm×3.2  mm. It has a measured beam divergence of 0.042°×0.031°, a field of view (FOV) of 6.6°×4.4°, and a response time of 5.7 μs. It is capable of providing about 25,600 rapidly steerable spots within its FOV. The grating phase shifters are optimized for the near-infrared telecom wavelength bands from 1200 to 1700 nm with 85% optical efficiency.

1 January 2021 in Light: Advanced Manufacturing
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Pierre-Alexandre BlanchePierre-Alexandre Blanche
Pierre-Alexandre Blanche

6 August 2019 in Nature Communications
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Journal Article
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MBMasoud Babaeian
Masoud Babaeian
DNDan T. Nguyen
Dan T. Nguyen
VDVeysi Demir
Veysi Demir
MAMehmetcan Akbulut
Mehmetcan Akbulut
Pierre-Alexandre BlanchePierre-Alexandre Blanche
Pierre-Alexandre Blanche
NPN. Peyghambarian
N. Peyghambarian
Combinatorial optimization problems over large and complex systems have many applications in social networks, image processing, artificial intelligence, computational biology and a variety of other areas. Finding the optimized solution for such problems in general are usually in non-deterministic polynomial time (NP)-hard complexity class. Some NP-hard problems can be easily mapped to minimizing an Ising energy function. Here, we present an analog all-optical implementation of a coherent Ising machine (CIM) based on a network of injection-locked multicore fiber (MCF) lasers. The Zeeman terms and the mutual couplings appearing in the Ising Hamiltonians are implemented using spatial light modulators (SLMs). As a proof-of-principle, we demonstrate the use of optics to solve several Ising Hamiltonians for up to thirteen nodes. Overall, the average accuracy of the CIM to find the ground state energy was ~90% for 120 trials. The fundamental bottlenecks for the scalability and programmability of the presented CIM are discussed as well.