Country for PR: United Kingdom
Contributor: PR Newswire Europe
Thursday, November 11 2021 - 19:00
AsiaNet
Cambridge Quantum and Deutsche Bahn Netz AG Leverage Latest Quantum Algorithms to Optimise Train Scheduling
CAMBRIDGE, England, Nov. 11, 2021 /PRNewswire-AsiaNet/ --

Cambridge Quantum (CQ) (https://cambridgequantum.com/ )and Deutsche Bahn Netz 
AG (DB) announce today a partnership to explore how quantum computers can 
improve the rescheduling of rail traffic as part of DB's  long-term 
transformative plan, Digitale Schiene Deutschland 
(https://digitale-schiene-deutschland.de/en ), to digitise DB's infrastructure 
and railway system using next-generation technologies to achieve a higher 
capacity and optimal utilisation of the rail network.

Combining CQ's latest combinatorial optimisation algorithm Filtering 
Variational Quantum Eigensolver (F-VQE) (https://arxiv.org/abs/2106.10055 ) - 
recently shown to outperform leading quantum algorithms 
(https://arxiv.org/abs/2109.03745 ) - with DB's operations research expertise, 
the team re-optimised realistic train timetables after simulated delays and are 
now identifying areas for continued study. This collaboration evidences how 
innovations in both quantum algorithms and domain-specific modelling can inform 
a long-term vision for a faster and greener transportation network.

Ilyas Khan, CEO of Cambridge Quantum, said, "We are very excited to be working 
with Deutsche Bahn to explore and demonstrate the utility of today's Noisy 
Intermediate Scale Quantum ("NISQ") processors to solve real-world problems in 
the transport and logistics sector. Deutsche Bahn's research and development 
efforts in this area are of critical importance, and we are confident that over 
time as quantum computers start to scale, our work with the will lead to a 
meaningful contribution towards a cleaner and greener future." 

Michael Küpper, lead of Capacity and Traffic Management System at Digitale 
Schiene Deutschland, said, "The collaboration with CQ is a perfect example of 
how Deutsche Bahn is working as a partner with industry providers and combining 
our relative expertise towards a goal neither side can achieve alone. By 
working with CQ, we have fine-tuned our research and development plans and 
taken the first steps in defining a future quantum-advantaged train timetabling 
system. We are excited to continue working with CQ to address some of the key 
challenges and contribute to the rapidly evolving field of NISQ quantum 
algorithm research." 

About DB

As a subsidiary of Deutsche Bahn AG, DB Netz AG is responsible for the rail 
infrastructure.

DB Netz AG is the service provider for currently 420 railway undertakings (RUs) 
utilising a route network comprising nearly 33,300 km. The German railway 
network is the longest in all of Europe. DB Netz AG ensures non-discriminatory 
access to its infrastructure. The performance of non-DB-Group railways in the 
network has greatly increased over the years. DB Netz is responsible for the 
operation of an efficient railway infrastructure (long-distance and conurbation 
networks, regional networks, train-formation and treatment facilities).

Digitale Schiene Deutschland is a sector initiative of DB AG, the German 
Federal Ministry of Transport and Digital Infrastructure (BMVI) and further 
relevant transport associations for the fundamental modernisation and 
digitalisation of railway infrastructure through the consistent introduction of 
digital control and safety technology. In addition, Digitale Schiene 
Deutschland is working on a far-reaching digitalisation of the railway system. 
For this, a system architecture will detail the tasks of individual components 
of the railway system, and how they should work together.

About CQ

Founded in 2014 and backed by some of the world's leading quantum computing 
companies, CQ is a global leader in quantum software and quantum algorithms, 
enabling clients to achieve the most out of rapidly evolving quantum computing 
hardware. CQ has offices in Europe, USA, and Japan. On 8th June 2021, CQ 
announced a merger with Honeywell Quantum Solutions which is expected to close 
in Q4 2021. For more information, visit CQ at http://www.cambridgequantum.com 
and on LinkedIn (https://www.linkedin.com/company/21661539/ ). 

Access the source code for lambeq, TKET, Python bindings and utilities on 
GitHub (https://github.com/CQCL ).

SOURCE: Cambridge Quantum