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In the world of quantum computing, the Hilbert space dimension—the measure of the number of quantum states that a quantum computer can access—is a prized possession. Having a larger Hilbert space allows for more complex quantum operations and plays a crucial role in enabling quantum error correction (QEC), essential for protecting quantum information from noise and errors.

A recent study by researchers from Yale University published in Nature created qudits—a that holds and can exist in more than two states. Using a qutrit (3-level quantum system) and a ququart (4-level quantum system), the researchers demonstrated the first-ever experimental for higher-dimensional quantum units using the Gottesman–Kitaev–Preskill (GKP) bosonic code.

Most quantum computers on the market usually process information using quantum states called qubits—fundamental units similar to a bit in a regular computer that can exist in two well-defined states, up and down and also both 0 and 1 at the same time, due to quantum superposition. The Hilbert space of a single qubit is a two-dimensional complex vector space.

Physicists from Oxford have, for the first time, scaled quantum computing using distributed teleportation technology — and this could change everything. From «parallel universes» to Grover’s algorithm, from cryptography to molecular modeling — the world is entering an era where «impossible» problems

Quantum scientists have cracked a longstanding problem by devising a method to speed up measurements without losing accuracy, a key hurdle for quantum technology. By cleverly adding extra qubits, they traded “space” for time, gathering more information faster without destabilizing the fragile qua

IN A NUTSHELL 🌕 Interlune, a Seattle-based startup, plans to extract helium-3 from the moon, aiming to revolutionize clean energy and quantum computing. 🚀 The company has developed a prototype excavator capable of digging up to ten feet into lunar soil, refining helium-3 directly on the moon for efficiency. 🔋 Helium-3 offers potential for nuclear

Researchers at the University of Sydney have successfully performed a quantum simulation of chemical dynamics with real molecules for the first time, marking a significant milestone in the application of quantum computing to chemistry and medicine.

Understanding in real time how atoms interact to form new compounds or interact with light has long been expected as a potential application of quantum technology. Now, quantum chemist Professor Ivan Kassal and Physics Horizon Fellow Dr. Tingrei Tan have shown it is possible using a quantum machine at the University of Sydney.

The innovative work leverages a novel, highly resource-efficient encoding scheme implemented on a trapped-ion quantum computer in the University of Sydney Nanoscience Hub, with implications that could help transform medicine, energy and materials science.

There is a curious tension between the notion of information as zero dimensional and the very fabric of the universe that is measured in finite increments such as the Planck length, often considered the smallest meaningful unit of space (10⁻³⁵ m). From the day our earliest models of communication were formalized, theorists have wrestled with the idea that information might be weightless, formless, and without dimensional extension, even as all signals we use to transmit and store it require tangible, measurable structures. As a matter of conceptual elegance, zero-dimensional descriptions of information promise simplicity and universality, yet collide with the physical reality of a world that consists of definite quantum-scale granularity. While Gregory Bateson alluded to information as a “difference that makes a difference” (Bateson, 1972, p. 459), the question remains whether this difference is truly independent of spatial and temporal constraints, or forever bound to them in ways that challenge the zero-dimensional ideal.

When the classic figures of communication theory described the fundamentals of information, there was a sense that the symbol or “bit” itself was neither physical nor extended in space. Claude Shannon (1948) famously called the problem of communication one of “reproducing at one point either exactly or approximately a message selected at another point” (p. 379). Such an abstract conceptualization pushed any question of dimensional extension into the background, because the focus rested on logical patterns rather than the medium. Yet, even in these logical patterns, one finds references to signals, channels, and potential distortions that are inseparable from physical processes. A memory device — whether neural or silicon-based — still requires a physically instantiated substrate to encode these abstract messages. Norbert Wiener (1954), whose work helped launch cybernetics, was strikingly prescient when he declared, “Information is information, not matter or energy.

Two-dimensional (2D) materials have proved to be a promising platform for studying exotic quasiparticles, such as excitons. Excitons are bound states that emerge when an electron in a material absorbs energy and rises to a higher energy level, leaving a hole (i.e., the absence of an electron) at the site that it used to occupy.

Researchers at Heriot-Watt University and other institutes recently observed two distinct exciton states in bilayer molybdenum diselenide (MoSe₂) with a 2H-stacked configuration, which involves the alignment of two monolayers with a characteristic rotational symmetry. Their paper, published in Physical Review Letters, reports the observation of one of these states known as quadrupolar excitons in 2H-MoSe₂

“Our work was inspired by the ongoing effort to explore and control excitonic phenomena in atomically thin semiconductor materials, which are rich platforms for studying ,” Mauro Brotons-Gisbert, senior author of the paper, told Phys.org. “In particular, bilayer transition metal dichalcogenides (TMDs) like MoSe₂ naturally host interlayer excitons with a dipolar character— of electrons and holes residing in adjacent layers.”

Quantum annealing is a specific type of quantum computing that can use quantum physics principles to find high-quality solutions to difficult optimization problems. Rather than requiring exact optimal solutions, the study focused on finding solutions within a certain percentage (≥1%) of the optimal value.

Many real-world problems don’t require exact solutions, making this approach practically relevant. For example, in determining which stocks to put into a mutual fund, it is often good enough to just beat a leading market index rather than beating every other stock portfolio.