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D-Wave’s New Advances in Quantum Computing

Recent discussions in the quantum computing field have often centered around claims made by various companies regarding their ability to outperform classical computing paradigms. Many of these assertions have focused on quantum computers that engage in what appears to be quantum behavior without actually resolving specific algorithms. In particular, claims from Google have revolved around “random quantum circuits,” emphasizing their operation rather than practical applications.

In contrast, D-Wave has carved out a unique niche in the quantum hardware space. The company’s offerings diverge from conventional general-purpose quantum computers. Instead, D-Wave utilizes quantum effects through a process known as quantum annealing. This method involves configuring qubits to seek a ground energy state that corresponds to the solution of a problem, making it particularly effective for tackling complex optimization tasks, such as scheduling.

Historically, D-Wave was one of the first companies to assert its capability to surpass classical systems, only to face skepticism from algorithm developers. This led D-Wave to adopt a more measured approach moving forward. Currently, multiple organizations have leveraged D-Wave’s technology for problems that align with the strengths of its quantum annealing hardware.

This Thursday, D-Wave is set to publish a groundbreaking paper that claims to demonstrate its technology’s capabilities “beyond classical computation.” Notably, this assertion is based on a problem that does not revolve around random circuits.

Diving into the Ising Model

The upcoming paper focuses on using D-Wave’s systems to explore the evolution of an Ising model over time. At its core, a fundamental representation of this model consists of a two-dimensional grid of units, each capable of existing in one of two states. The state of each unit is influenced by the states of its neighboring units. As a result, entire Ising models can easily be pushed into unstable states, leading to fluctuations in unit values until stability is regained at a low-energy state. However, as this is also classified as a quantum system, random noise can induce bit flips, causing the system to evolve continuously. Additionally, the flexibility exists to arrange these units in complex geometries, facilitating a wider range of behaviors than those presented in simpler grid models.

Source
arstechnica.com