Lifeboat Foundation

Quantum computers and quantum communication are groundbreaking technologies that enable faster and more secure data processing and transmission compared to traditional computers. In quantum computers, qubits serve as the fundamental units of information, functioning as the quantum mechanical equivalent of bits in classical computing.

Where, for example, laser pulses in a glass fiber transport information from A to B in classical digital communication, quantum mechanics uses individual photons. In principle, this makes it impossible to intercept the transmitted data. Qubits that are optically addressable (can be controlled or read out with light) are suitable for storing the photons’ information and processing it in quantum computers. The qubits can store and process quantum states, and absorb and emit them in the form of photons.

Initially investigating out of pure curiosity, researchers have made a discovery that bridges the gap between Aristotle’s observations two millennia ago and modern-day understanding, while opening the door to a whole host of “cool”—and “cooling”—implications.

While various studies have hinted at the existence of dark matter, its nature, composition and underlying physics remain poorly understood.

Quantum state tomography plays a fundamental role in characterizing and evaluating the quality of quantum states produced by quantum devices. It serves as a crucial element in the advancement of quantum hardware and software, regardless of the underlying physical implementation and potential applications^1,2,3. However, reconstructing the full quantum state becomes prohibitively expensive for large-scale quantum systems that exhibit potential quantum advantages^4,5, as the number of measurements required increases exponentially with system size.

Recent protocols try to solve this challenge through two main steps: efficient parameterization of quantum states and utilization of carefully designed measurement schemes and classical data postprocessing algorithms. For one-dimensional (1D) systems with area law entanglement, the matrix product state (MPS)^{6,7,8,9,10,11,12} provides a compressed representation. It requires only a polynomial number of parameters that can be determined from local or global measurement results. Two iterative algorithms using local measurements, singular value thresholding (SVT)¹³ and maximum likelihood (ML)¹⁴, have been demonstrated in trapped-ion quantum simulators with up to 14 qubits¹⁵. However, SVT is limited to pure states and thus impractical for noisy intermediate-scale quantum (NISQ) systems. Meanwhile, although ML can handle mixed states represented as matrix product operators (MPOs)^16,17, it suffers from inefficient classical data postprocessing.

The authors explore the digital-analog quantum computing paradigm, which combines fast single-qubit gates with the natural dynamics of quantum devices. They find the digital-analog paradigm more robust against certain experimental imperfections than the standard fully-digital one and successfully apply error mitigation techniques to this approach.

China’s efforts to scale up the manufacture of superconducting quantum computers have gathered momentum with the launch of the country’s independently developed third-generation Origin Wukong, said industry experts on Monday.

The latest quantum computer, which is powered by Wukong, a 72-qubit indigenous superconducting quantum chip, has become the most advanced programmable and deliverable superconducting quantum computer currently available in China.

The chip was developed by Origin Quantum, a Hefei, Anhui province-based quantum chip startup. The company has already delivered its first and second generations of superconducting quantum computers to the Chinese market.

Quantum AI, the fusion of quantum computing and artificial intelligence, is poised to revolutionize industries from finance to healthcare.

Researchers at KIT’s Physikalisches Institut have developed a method to precisely control diamond tin-vacancy qubits.

Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working a million times faster, potentially accelerating the development of photovoltaic and quantum materials.