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The latest episode of The Quantum Kid features theoretical physicist Juan Maldacena explaining how many qubits a quantum computer might need to simulate a holographic universe. The estimate depends on having stable, near-perfect qubits, closer to error-corrected logical qubits than the noisy physical qubits used in current machines; the supplied report does not state the numerical estimate.

The latest episode of The Quantum Kid features theoretical physicist Juan Maldacena discussing how many qubits a quantum computer might need to simulate a holographic universe, a proposal that links quantum information with gravity. The estimate comes with a major qualification: the qubits would need to be stable and near-perfect, unlike the noisy physical qubits in today’s machines.

Maldacena, of the Institute for Advanced Study in Princeton, explains the holographic principle in the episode. In this framework, the contents of a region of space, including gravity, can be described using information on its boundary. The idea offers a mathematical way to investigate how gravity and quantum mechanics may fit together.

The episode’s central question is whether a sufficiently powerful quantum computer could simulate a holographic universe. Such a simulation could give researchers a way to study aspects of quantum gravity in a controlled computational setting. The report says Maldacena gives a specific qubit estimate, but the supplied material does not include the number, so it cannot be reported here.

The program also visits Microsoft’s quantum lab in Copenhagen. Dr. Lauri Sainiemi discusses Majoranas and Microsoft’s topological-qubit approach, which is intended to make qubits more resistant to noise. The episode pairs the theoretical scale of the proposed simulation with the engineering problem of producing reliable hardware.

At a glance
reportWhen: Episode reported November 2, 2026
The developmentA new episode of The Quantum Kid presents Juan Maldacena’s estimate of the qubits needed to simulate a holographic universe and examines the hardware challenge of building sufficiently stable qubits.

Why Qubit Quality Sets the Scale

The discussion connects a foundational physics problem to a practical question for quantum computing: not just how many qubits a machine has, but how reliably those qubits can preserve and process information. A large count of error-prone physical qubits would not by itself meet the conditions described for a universe-scale simulation.

That distinction matters when comparing theoretical targets with industry roadmaps. Many proposed quantum applications focus on areas such as materials, drug discovery and optimisation. A holographic simulation would instead target questions about gravity and the structure of physical theories. It is a potential research application, not evidence that existing machines can perform the simulation.

The episode also puts attention on the gap between physical qubits, which are susceptible to noise, and logical qubits, which use error correction to represent more reliable computational units. The source describes the required qubits as closer to the latter. It does not establish how many physical qubits would be needed to produce the required logical qubits, or when such a machine might be available.

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From Holographic Duality to Hardware

Maldacena’s 1997 paper set out a prominent holographic duality: a relationship between a theory involving gravity in one description and a quantum theory on a boundary in another. The source report says the paper remains the most cited in the history of high-energy physics. Its enduring influence helps explain why a discussion of simulating a universe has attracted attention beyond theoretical physics.

The holographic principle is not a claim that the universe is literally a computer or that a working simulation already exists. It is a theoretical framework that relates descriptions of physical systems. The possible use of quantum computers follows from the connection between the framework and quantum information, but the episode’s estimate remains a theoretical target.

Microsoft’s approach, as described in the report, uses Majoranas in an effort to build topological qubits that are more robust to noise from the outset. Sainiemi explains the approach and the difficulty of making stable qubits. The source does not report a completed system capable of the proposed simulation or provide performance results from the Copenhagen lab.

The Estimate and Its Limits

The report supplied for this article does not state Maldacena’s numerical qubit estimate, its assumptions, or the size and complexity of the universe model being considered. It is therefore not possible to give a defensible number or compare the target quantitatively with present-day systems. The estimate should not be treated as a demonstrated hardware requirement for simulating the actual universe.

It is also unclear from the source how the calculation accounts for error correction, how many physical qubits would be needed for each useful logical qubit, or whether the proposed topological approach will deliver the expected robustness in practice. The episode describes an engineering goal, not proof that Microsoft’s hardware has achieved it.

The source presents the holographic principle as a theoretical framework and the simulation as a possible research application. It does not say that such a simulation has been built, that it would reproduce every feature of our universe, or when quantum computers might reach the stated conditions.

What the Episode Leaves Open

The immediate next step for readers seeking the numerical figure is to consult the full episode or a transcript, since the source brief does not include Maldacena’s number. The report identifies the episode as available on The Quantum Kid and links to its video.

Beyond the program, progress depends on whether researchers can build and control sufficiently stable qubits and scale error correction. Microsoft’s topological-qubit work is one effort discussed in the episode, but the source gives no schedule or milestone for reaching the scale required. No date for a practical holographic-universe simulation is provided.

Key Questions

How many qubits did Juan Maldacena say would be needed?

The source brief says Maldacena gives a specific estimate, but it does not include the numerical figure. A number cannot be verified from the supplied material.

What does it mean to simulate a holographic universe?

It refers to using a quantum computer to model a system described by the holographic principle, in which information about a region containing gravity can be represented on its boundary. The proposed simulation is a research possibility, not a reported achievement.

Why would the qubits need to be near-perfect?

Quantum information is vulnerable to noise and errors. The report says the proposed simulation would require stable qubits closer to error-corrected logical qubits than to today’s noisy physical qubits.

What is Microsoft’s topological-qubit approach?

The episode discusses Microsoft’s approach using Majoranas to build topological qubits intended to be more resistant to noise. The supplied report does not establish that the approach has reached the scale or performance needed for this simulation.

Has a quantum computer simulated a holographic universe?

The source does not report that such a simulation has been completed. It describes the idea as a potential application for a sufficiently powerful quantum computer and emphasizes that the necessary qubit stability remains a major challenge.

Source: thequantuminsider.com

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