In the logistics industry, quantum computing is earmarked as a key trend within the next five to ten years. With quantum computers, logistics providers can optimise supply-chain processes with real-time dynamics, out of reach on regular desktop computers or even supercomputers.  

The fast and dynamic optimisation of routes continues to trouble the industry, where expectations of speed and cost-effectiveness are high. Quantum computers will allow an improvement at this stage very soon.  

Quantum computers will also be important in building a new, more resilient generation of supply-chain infrastructure. They will improve reallocation and planning of assets in the case of unexpected events (for example shutdowns, late shipments, or order cancellations).  

  • First formulated in 1930, the ‘Traveling Salesman Problem’ (TSP) is an algorithmic problem used to calculate the most efficient path between a set of points.  
  • The more points there are, the higher the number of possible unique paths. It is an NP-hard problem in combinatorial optimization, important in theoretical computer science and operations research.  
  • While trying all possibilities is an option, it is also the most time-consuming and computationally expensive method. Quantum computers will be faster than conventional computers in finding the optimal route.  

In logistics, the application of quantum computing is a good fit, since the last-mile delivery process requires an optimized route that allows for the delivery of a series of packages to different addresses in the shortest time possible.  

Quandela’s Use Cases 

Clients: Thales​ 

Challenge (What): Solve shortest path graph problems.​ 

Application (Why): Today, with the exponentially increasing number of unmanned drones in use, the complexity of air-traffic management has also increased. To ensure the safety of the skies, drones require quick reaction times and efficient routing, a difficult problem for conventional trajectory calculation methods. We use a Quadratic Unconstrained Binary Optimisation (QUBO) approach on our photonic quantum computer to find the shortest path between a starting point and a termination point. ​ 

Methodology (How): With an appropriate encoding, variational algorithms can be used to solve minimization problems using QUBO. 

Challenge: Efficiently encode any bounded matrix on a photonic quantum computer.​ 

Application: Because graphs can be represented as matrices, our encoding can be used to solve a variety of graph related problems. In particular, we find algorithms which use this encoding to determine whether two graphs are isomorphic, or to find dense subgraphs of a fixed size in a given graph. These problems have a wide range of applications across many industries, such as air-traffic management, social networking, and chemistry.​ 

Methodology: Boson sampling, a technically naturally suited to photonic quantum computers, can be used to estimate the permanent of a matrix. The permanent reveals properties of the input matrix and state of the photonic chip, which we use to solve important graph problems, improving on classical techniques.

Challenge (What): Perform reinforcement learning on a photonic quantum computer.​ 

Application (Why): Reinforcement learning is a machine-learning model where an agent interacts with the environment that rewards desirable behavior and penalizes undesired ones. It has many applications, ranging from game theory to self-driving cars.​ 

Methodology (How): Quantum reinforcement learning uses a round of amplitude amplification, which facilitates the search for rewarded actions.

Quantum Computing Use Cases Explained: Logistics Infographic

Who are we

Quandela is a European start up that provides photonic quantum computers that are modular, scalable, energy-efficient and accessible both on the cloud and on premise. Our team specialises in the development of both software and hardware solutions for a variety of quantum applications. We offer a wide range of services, from developing the most efficient and brightest single photons sources, to creating algorithms for quantum computers and providing cloud quantum computing solutions. 

Join our team

As an applicant at Quandela, you will join a dynamic and international team of scientists, engineers, technologists, and business professionals. You will have the opportunity to work on cutting-edge technologies and contribute to the development of innovative solutions that will have a global impact. We are looking for passionate and ambitious people who are eager to learn and grow with us. 

Who trusts us

At Quandela, we are committed to providing end-users with the best quantum computing experience. Our team specialises in the development of both software and hardware solutions for a variety of quantum applications and provides you with the most reliable and cost-effective solutions. Our goal is to make quantum computing accessible and easy to use for everyone. Our technology is backed by the world's leading industry partners, investors, and funding agencies – join us and unlock the potential of quantum computing. 

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