Intel Labs unveiled a first-of-its-kind cryogenic control chip -- code-named "Horse Ridge" -- that will speed up development of full-stack quantum computing systems. Horse Ridge will enable control of multiple quantum bits (qubits) and set a clear path toward scaling larger systems -- a major milestone on the path to quantum practicality. Developed together with Intel's research collaborators at QuTech, a partnership between TU Delft and TNO (Netherlands Organization for Applied Scientific Research), Horse Ridge is fabricated using Intel's 22nm FinFET Low Power (22FFL) technology. In-house fabrication of these control chips at Intel will dramatically accelerate the company's ability to design, test and optimize a commercially viable quantum computer. Jim Clarke, Intel's director of quantum hardware, says this integration is possible because of the kind of qubits the company uses.
Intel has passed a key milestone while running alongside Google and IBM in the marathon to build quantum computing systems. The tech giant has unveiled a superconducting quantum test chip with 49 qubits: enough qubits to possibly enable quantum computing that begins to exceed the practical limits of modern classical computers.
They are billed as machines that will change the future, but quantum computers themselves are still in the future. All the same, scientists have been working on developing a working quantum computer for years now, and the frenzied competition to be the first has yielded a new record -- a 53-qubit quantum simulator.
A quantum upgrade could make old-fashioned cheques the most secure way to send money. Researchers have proven that quantum computers could in theory create and cash cheques that are nearly impossible to forge. Quantum computers store information using qubits which, unlike the ones and zeros of classical computing, can exist in two states simultaneously. This is known as quantum superposition. But it's impossible to observe a qubit while it's in a superposition – it collapses into either a one or zero as soon as you measure it.
Here we discussed the advantages and limitations of seven key qubit technologies for designing efficient quantum computing systems. The seven qubit types are: Superconducting qubits, Quantum dots qubits, Trapped Ion Qubits, Photonic qubits, Defect-based qubits, Topological Qubits, and Nuclear Magnetic Resonance (NMR) . They are the seven pathways for designing effective quantum computing systems. Each one of them have their own limitations and advantages. We have also discussed the hierarchies of qubit types.