Special Journal Issue on Quantum Engineering for Autonomous Vehicles

The ASME Journal of Autonomous Vehicles and Systems is currently accepting manuscripts for a special issue focusing on the topic “Quantum Engineering for Autonomous Vehicles.” Authors who are interested in having their manuscripts included in the special issue, to be published in January 2023, should submit their manuscripts by August 15, 2022.
 
The goal of this special issue is to publish the latest research and advances at the interface of quantum technologies and autonomous vehicles. Applications of quantum technologies have shown the greatest potential in the advancement of engineering systems in recent decades, including their computational speed-up and guaranteed security. By integrating the unmatched possibilities of quantum advantage with engineering applications, such integrated quantum and engineering systems and techniques can potentially push the current engineering boundaries beyond any classical technique.
 
Autonomous vehicles and systems are integrated, physical, mechatronic systems in multiple domains. Efficient and integrated multi-domain and multi-disciplinary techniques are required to enable optimized vehicle systems. One of the motivations in promoting cross-disciplinary quantum and classical engineering system research and development is to pave the way for the development of new classes of advanced autonomous vehicles and robotic systems, integrated and compatible/adaptable with emerging quantum technologies in an optimized manner. Once quantum computers become more accessible to the general engineering community, it is envisioned that robots and autonomous systems, once equipped with quantum computers and quantum computing capabilities, will require tighter cooperation, and will be expected to be controlled and communicate with appropriate corresponding quantum-enabled communication systems (e.g., using quantum entanglement, cryptography, and teleportation techniques) in highly integrated multi-agent robotic networking scenarios. These “hybrid” classical/quantum systems may hold significant promise for the most efficient and optimized solutions in many future autonomous vehicle applications.

The special issue aims to promote quantum engineering for autonomous vehicles and robotics applications and invites the experts in engineering and physics communities to contribute their research to support the advancement in these related research areas. An invitation is extended to experts who are exploring the interplay between quantum technologies and autonomous vehicles and robots.

Manuscripts to be included in the special issue should concentrate on a range of topics including, but not limited to applications of quantum computing; quantum AI (Artificial Intelligence); quantum annealing; quantum games; quantum communication; cryptography; teleportation; and network and distributed sensing, etc. which can potentially be used as enablers of novel guidance, dynamics, control, estimation, and system identification of enhanced autonomous systems.
 
Manuscripts should be submitted electronically to the journal by August 15, 2022, via Journals Connect at journaltool.asme.org. Authors who have an account should log in and select “Submit Paper” at the bottom of the page. Authors without an account should select “Submissions” and follow the steps. At the Paper Submittal page, authors should select “ASME Journal of Autonomous Vehicles and Systems” and then select the special issue “Quantum Engineering for Autonomous Vehicles.” Papers received after the deadline or papers not selected for inclusion in the special issue may be accepted for publication in a regular issue.
 
The guest editors for the special issue are Marco B. Quadrelli, Jet Propulsion Laboratory, California Institute of Technology, USA, marco.b.quadrelli@jpl.nasa.gov; Farbod Khoshnoud, California State Polytechnic University, Pomona, and Center for Autonomous Systems and Technologies, California Institute of Technology, USA, farbodk@caltech.edu; David Gorsich, U.S. Army DEVCOM Ground Vehicle Systems Center, USA, david.j.gorsich.civ@mail.mil; and Vladimir Vantsevich, Autonomous Vehicle Mobility Institute, University of Alabama at Birmingham, USA, vantsevi@uab.edu.
 
For more information on the ASME Journal of Autonomous Vehicles and Systems, visit https://asmedigitalcollection.asme.org/autonomousvehicles. To learn more about the ASME Journal Program, visit www.asme.org/publications-submissions/journals/information-for-authors.