From a quantum cup, you cannot scoop out more classical information than the size of its neck allows.
In practice: Sets the limit for the throughput of the quantum internet and the security of quantum cryptography.
In 1973, Soviet mathematician Alexander Holevo from the Steklov Mathematical Institute proved his famous theorem. It states that the amount of classical information accessible to an observer about a quantum state does not exceed the von Neumann entropy of that state (a measure of its uncertainty) minus the average entropy of the states composing the ensemble. This work became a cornerstone of quantum information theory.
How it works
This limit determines the actual rate of secure data transmission in quantum communications. For example, in quantum key distribution (QKD), to prevent an eavesdropper from listening unnoticed, the key generation rate cannot exceed the Holevo bound.
💡 The Holevo bound explains why quantum computers cannot simply 'download' all answers from parallel universes: only a limited amount of ordinary data can be extracted from a quantum state.
If messages are transmitted using quantum particles (e.g., photons), the amount of classical information (ordinary bits) that the receiver can extract from measurements is limited. The Holevo bound says: n quantum bits (qubits) cannot carry more than n classical bits of information. This is like a USB flash drive that physically cannot hold more data than its capacity, no matter how cunningly one tries to encode it.
How it works
This limit determines the actual rate of secure data transmission in quantum communications. For example, in quantum key distribution (QKD), to prevent an eavesdropper from listening unnoticed, the key generation rate cannot exceed the Holevo bound.
💡 In world science, Holevo's surname is among the few Russian terms used without translation — 'Holevo bound.' At quantum information conferences, it is often simply called 'the Holevo bound.'
The Holevo theorem (or Holevo bound) is a fundamental inequality in quantum information theory that limits the mutual information I(X;Y) between a classical random variable X and the result of a measurement Y on a quantum state. If the sender sends states with probabilities p_i and density matrices ρ_i, then the receiver, by performing any measurement, can extract at most χ = S(∑ p_i ρ_i) — ∑ p_i S(ρ_i) bits of information. Here S(ρ) = –Tr(ρ log₂ ρ) is the von Neumann entropy (the quantum analogue of Shannon entropy, quantitatively characterizing the uncertainty of the state). An important corollary: one qubit cannot transmit more than one classical bit.
Discovery
Formulated and proven by Alexander Holevo in 1973. The idea was independently discussed in Western literature later, but priority belongs to Holevo. The theorem became the starting point for the development of quantum channel capacity theory: Benjamin Schumacher and Richard Jozsa later introduced the term 'qubit' and studied quantum information compression. Also important are the works of Charles Bennett and Stephen Wiesner.
How it works
The Holevo bound is used in designing quantum communication protocols and evaluating their efficiency. It is also important in quantum cryptography — it determines the upper bound on information leakage to an eavesdropper. Limitations: it assumes that the sender and receiver do not use entanglement (they transmit prepared states). For quantum channels with entanglement, there are more general bounds — the Holevo-Schumacher-Westmoreland capacity, which go beyond this theorem.
Caveats
Is the Holevo bound achievable under real-world constraints of noise and decoherence?; How to generalize the bound to the transmission of not only classical but also quantum information?; Are there quantum codes that asymptotically reach the limit?
χ — the maximum amount of classical information (in bits) that can be extracted from an ensemble of quantum states; S — von Neumann entropy, S(ρ) = –Tr(ρ log₂ ρ), where Tr is the matrix trace, log₂ is the base-2 logarithm, and ρ is the density matrix (describing the quantum state); p_i — the probability with which the sender prepares state ρ_i; ∑_i p_i ρ_i — the average state received by the receiver.
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