A unique way
to break the limits of the world.
the Simulated Bifurcation Machine?
Originated from research on quantum bifurcation machines,
the SBM is a practical and ready-to-use ISING machine that solves large-scale "combinatorial optimization problems" at high speed.
※Simulated Bifurcation Machine=SBM
No need for special hardware; can be implemented on general-purpose computers.
Solved the 1 million spin MAX-CUT problem in a PC cluster environment.
Horizontal scaling can be achieved by using tens of computers as a resource.
100 times faster than a simulated annealing method
*2, now widely used to solve a Ising problem.
*1：Spin：unit of Ising problem size.
*2：Based on our environment.
*1：Spin：unit of Ising problem size.
*2：Based on our environment. Comparison with
the existing Ising machines
Achieved the scale required to solve real-world problems.
Machine Learning / Software Verification / Social Network
Personnel Deployment and Shifting
Dynamic Portfolio Management / Risk Management
Manufacturing Process / Chemical Plant Design / Semiconductor Design
Medicine / Chemical
Genome Sequencing / Drug Discovery
Logistical Routing / Warehouse Optimization
Electric Power / Water and Sewage / Warehouse Optimization
Social Security Optimization / Economic Plan / Disaster Prevention and Reduction / Budget Plan
SBM Introduction Video
"proof-of-concept" (PoC) edition of SBM
at the AWS Marketplace
Solves ISING, Max-CUT, and Max-SAT optimization problems.
Solves ISING problems with up to 10,000 spins.
Available for no additional charge*; you are only charged for the use of AWS virtual machines (AWS virtual machine instances). You are not charged for the use of SBM.
* Requires agreement for using AWS virtual machines (AWS virtual machine instances).
SBM PoC Edition User Manual
SBM PoC Edition User Manual On extending the trial period of the PoC edition of SBM
and releasing the new version 1.2 (Nov. 29, 2019)
We sincerely thank you for providing us with your constructive feedback regarding the PoC edition of SBM.
We are pleased to announce the release of the new version; this new version allows setting some of the highly requested parameters.
The Poc edition of SBM remains free at no additional charge; you are only charged for the use of AWS virtual machines (AWS virtual machine instances).
Thank you for your continued support of SBM.
Amazon Web Services Inc., AWS, and AWS Marketplace are trademarks of Amazon.com, Inc. or its affiliates in the United States and/or other countries.
Toshiba’s New Algorithms Quickly Deliver Highly Accurate Solutions to Complex Problems
-Breaks the limitations of classical mechanics by introducing a quasi-quantum effect Expected to accelerate complex problem-solving in finance, pharmaceuticals and logistics.-
Oct. 2, 2020 International conference papers (ISCAS20) and their presentation videos of a currency arbitrage machine based on simulated bifurcation algorithm have been published [open access in 9/29-10/21 (open preview)].
"A Currency Arbitrage Machine Based on the Simulated Bifurcation Algorithm for Ultrafast Detection of Optimal Opportunity," IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5 (2020).
"Live Demonstration: Capturing Short-Lived Currency Arbitrage Opportunities with a Simulated Bifurcation Algorithm-Based Trading System," IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-1 (2020).
Feb. 10, 2020
SBM is mentioned in IEEE SPECTRUM. Dec. 19, 2019
SBM was chosen as TOP 5 Algorithm Breakthroughs in 2019 by Analytics India Magazine. Nov. 27, 2019
Extending the trial period of the PoC edition of SMB in the AWS Marketplace and releasing the new version September 11, 2019
Announced Dedicated Massively Parallel Processing Circuit for Simulated Bifurcation Algorithms. September 9, 2019
Gave a presentation on FPGA-based SBM at FPL 2019. August 23, 2019 Launched a new SBM website.
July 17, 2019
Announced a release of the proof-of-concept (PoC) of SBM on the AWS Marketplace. June 28, 2019
Hayato Goto (Toshiba Corporation) gave a presentation on the SBM at AQC 2019 as an invited speaker
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