Insights

Ion Trap and Neutral Atom implementations of MBQC leverage two leading “matter-qubit” platforms – trapped ions and ultracold neutral atoms – to realize this model. In a trapped-ion MBQC, a string of ions (charged atoms) is confined and entangled via electromagnetic fields and laser pulses. The ions’ internal states serve as qubits that can be entangled pairwise or globally using multi-ion gate operations, preparing a cluster state ...

Quantum technologies matter for energy because many challenges in this sector involve combinatorial optimization and molecular simulation at scales classical computers cannot handle. For example, routing power through a grid with thousands of control decisions or modeling the chemistry inside a battery are tasks that overwhelm today’s fastest supercomputers. Quantum computers leverage phenomena like superposition and entanglement to examine a vast number of configurations simultaneously, potentially delivering solutions faster or more accurately. The result could be more efficient energy distribution, smarter storage solutions, and accelerated innovation in clean energy technology ...

Superconducting qubits are quantum bits formed by tiny superconducting electric circuits, typically based on the Josephson junction – a sandwich of two superconductors separated by a thin insulator which allows tunneling of Cooper pairs. When cooled to extremely low temperatures (≈10–20 millikelvin), these circuits exhibit quantized energy levels that can serve as the |0⟩ and |1⟩ states of a qubit​ ...

Quantum computing is poised to become a catalytic force in the global pharmaceuticals and biotechnology industries. Its ability to tackle problems of staggering complexity – whether simulating the quantum behavior of drug molecules, analyzing massive genomic datasets for personalized medicine, or optimizing the myriad decisions in R&D and supply chains – offers a new computational paradigm for an innovation-hungry sector. We have seen that even in its nascent state, quantum technology is already making waves: early experiments have accelerated molecular discovery, quantum sensors are breaking new ground in biomedical imaging​, and companies big and small are gearing up through partnerships and pilot projects to be part of this coming revolution​​ ...

Holonomic quantum computing (also known as geometric quantum computing) is a paradigm that uses geometric phase effects to perform quantum logic operations. In a holonomic gate, the quantum state is manipulated by adiabatically (or sometimes non-adiabatically) moving the system’s parameters along a closed loop in parameter space, causing the state to acquire a geometric phase or holonomy ...

Photonic quantum computing uses particles of light – photons – as qubits. Typically, the qubit is encoded in some degree of freedom of a single photon, such as its polarization (horizontal = |0⟩, vertical = |1⟩), or its presence/absence in a given mode (occupation number basis: no photon = |0⟩, one photon = |1⟩ in a mode), or time-bin (photon arriving early vs late). Photons are appealing qubits because they travel at the speed of light, have very low environmental interaction (hence can maintain coherence over long distances, which is why photons are used in quantum communication), and operate at room temperature ...

Trapped-ion quantum computing uses individual ions (charged atoms) as qubits. Each ion’s internal quantum state (usually two hyperfine levels of the atom’s electron configuration) serves as |0⟩ and |1⟩. Ions are held in place (suspended in free space) using electromagnetic traps – typically a linear Paul trap that confines ions in a line using oscillating electric fields. By using lasers or microwaves to interact with the ions, quantum gates can be performed ...

Adiabatic Topological Quantum Computing (ATQC) is a hybrid paradigm that combines adiabatic quantum computing with topological quantum computing. In essence, ATQC uses slow, continuous changes in a quantum system’s Hamiltonian (an adiabatic evolution) to perform computations, while encoding information in topologically protected states for inherent error resistance ...

Neuromorphic quantum computing (NQC) is a cutting-edge paradigm that merges two revolutionary approaches to computing: neuromorphic computing and quantum computing. Neuromorphic computing is inspired by the architecture of the human brain – it uses networks of artificial neurons and synapses (often implemented in specialized hardware) to process information in a highly parallel and energy-efficient way, much like brains do ...

Topological Quantum Computing is a paradigm that seeks to encode quantum information in exotic states of matter that have topological degrees of freedom, and to perform quantum gates by braiding or otherwise manipulating these topological objects. The central promise of topological QC is built-in error protection: information stored in a topological form is inherently protected from local noise by global properties (similar to how a knot’s existence doesn’t depend on the exact rope configuration, only on its topological class) ...

Adiabatic Quantum Computing (AQC) is a universal paradigm of quantum computing based on the adiabatic theorem of quantum mechanics. It generalizes the idea of quantum annealing beyond just optimization. In AQC, one encodes the solution of an arbitrary computation in the ground state of some problem Hamiltonian $H_{\text{problem}}$. Instead of applying discrete gates, one evolves the quantum state continuously under a time-dependent Hamiltonian $H(t)$ from an initial easy state to the final state that encodes the answer ...

International interbank payments rely on multiple layers of classical cryptography to ensure security from end to end. When a user initiates a cross-border transfer at their local bank, cryptographic mechanisms protect the transaction at every stage - from the customer’s online banking session, through the bank’s internal systems, across the SWIFT interbank messaging network, to settlement in a central Real-Time Gross Settlement (RTGS) system ...