Computing
Quantum computing is currently the most dynamic area, driving the sharpest increases in both firm creation and patenting activities. In quantum computing, qubits - the quantum analogue of classical binary 0/1 bits - use superposition to represent and process vast amounts of information simultaneously. This immense computational power could solve complex questions and models such as, for example, the simulation of molecular interactions to develop and predict the working of new drugs from an endless number of chemical combinations. communications.
Models
Classical computers simulate complex systems by decomposing them into manageable components and executing massive parallel calculations. Quantum problems - particularly those involving and requiring computational resources that grow exponentially with system size - are intractable even for today’s high-performance computing clusters. Quantum-based models attempt to provide conceptual frameworks for processing quantum information, including gate-based, adiabatic, measurement-based models and quantum simulations.
Simulation
Direct quantum modelling avoids the exponential scaling of classical simulations as currently used in, for example, weather predictions. Simulating strongly correlated materials, complex molecules, photosynthesis, superconductivity and quantum phase transitions are typically areas where quantum-based simulation would excel. There is lively patenting activity in the use of quantum models to simulate complex physical, chemical or material processes.
Non-simulation models
Patents in this query cover innovative, non-simulation-based computing models that offer solutions in fields like finance, materials science, drug discovery and machine learning, where they can solve complex optimisation and machine learning problems.
Physical realisation
These patent applications focus on the hardware components and platforms for building quantum computers such as superconducting circuits, trapped ions, the spin of electrons and photonics. These systems are manipulated and controlled to perform computations that leverage quantum principles like superposition and entanglement.
Superconducting
Circuits based on superconducting materials currently form one of the most advanced platforms for commercialisation. Superconducting circuits are used to create qubits by cooling materials like niobium alloys to extremely low temperatures to achieve superconductivity. This state allows circuits to act as "artificial atoms" with near-zero resistance, enabling the formation of quantum states that can be manipulated with microwave pulses. The zero resistance helps to achieve long qubit coherence times and allows for engineering of the qubits' energy levels and couplings. However, it requires a complex cryogenic environment that can currently only be obtained in a lab environment.
Trapped ion or atom
Trapped ions or atoms are a leading technology for quantum computers, using charged or neutral atoms suspended in an electromagnetic field as qubits. These individual ions are held in a vacuum to minimise environmental interference, and their quantum states are manipulated and read out using precisely controlled laser beams to perform calculations. This isolation leads to long coherence times and high precision, which are crucial for accurate quantum computations.
Spin-based quantum computing
Spin-based quantum computing uses the intrinsic spin of quantum particles, such as electrons or atomic nuclei, to serve as qubits. These spin qubits are manipulated using electromagnetic fields to perform calculations, with the "up" or "down" spin-states representing more than a single 0 and 1 state of a classical bit, and both being available simultaneously in a quantum state of superposition. Spin-based quantum computing exploits electron or nuclear spins, often in solid-state systems such as semiconductors or diamond defects.
Quantum optics
These computing schemes are based on manipulating photons as qubits. Quantum optics uses the quantum nature of light (photons) and their interaction with matter to build and operate quantum computers. It provides methods to generate, manipulate, and measure qubits, often by encoding quantum information in properties like a photon's polarization (or spin). This approach uses components like beamsplitters and single-photon detectors to perform computations through techniques such as linear optical quantum computing (LOQC) or measurement-based quantum computing (MBQC).
Algorithms
Quantum-specific algorithms are designed to leverage quantum speed-up and include optimisation and cryptographic applications. Optimization algorithms seek the best solution from a set of possibilities, a task that becomes overwhelmingly complex for classical computers as the number of variables grows and the possibilities increase exponentially. Quantum optimisation algorithms use quantum properties to explore many solutions simultaneously.
Error corrections
Error correction is needed to stabilise fragile quantum states against noise and decoherence. Such errors accumulate rapidly, making quantum computations unreliable without it. QEC is a prerequisite for scalable quantum computing, as it allows for complex, long computations and is essential for achieving fault tolerance, where a system can continue to function despite errors. Without error correction, quantum computers would be limited to shallow circuits, negating their potential to solve complex problems.
Programming
Programming quantum computers requires new skills, tools and approaches to solve problems that are intractable for classical computers. The key developments centre around a deep understanding of how quantum phenomena can be used to the fullest of possibilities for specific tasks. Specialized hybrid programming techniques and new software tools for controlling and debugging programs on noisy, intermediate-scale hardware are being developed (e.g. Silq, Qiskit, CIRQ, Q#, FOREST etc.).