Papers
Topics
Authors
Recent
2000 character limit reached

Quantum-Memory-Assisted Entropic Uncertainty

Updated 17 November 2025
  • Quantum-memory-assisted entropic uncertainty (QM-EUR) is an extension of traditional uncertainty relations that incorporates quantum memory to reduce measurement uncertainty via conditional entropies.
  • It refines uncertainty bounds using improved overlap metrics and state-dependent corrections, integrating advanced concepts like full-spectrum overlaps and mutual information adjustments.
  • QM-EUR underpins practical quantum applications, enhancing protocols in quantum key distribution, entanglement certification, and robustness assessments in open and relativistic quantum systems.

Quantum-memory-assisted entropic uncertainty relations (QM-EURs) constitute a fundamental extension of entropic uncertainty relations (EURs) by explicitly incorporating quantum side information. Building on the observation that quantum memory—an ancillary system correlated with the measured system—can dramatically reduce the joint uncertainty about measurement outcomes, QM-EURs serve as a powerful framework linking quantum measurement theory, information-theoretic security, and multipartite correlation structure. This paradigm has catalyzed a series of refinements, including improved bounds, multipartite generalizations, and extensions to arbitrary positive-operator-valued measures (POVMs), with significant implications for quantum cryptography, open-system dynamics, and the operational certification of quantumness in diverse experimental settings.

1. Foundational Concepts and Core Inequality

The seminal QM-EUR, originally proven by Berta et al., asserts that for a bipartite quantum state ρAB\rho_{AB} where AA is the measured system and BB serves as the quantum memory, and for any pair of noncommuting observables QQ and RR on AA with eigenprojectors {ΠxQ}\{\Pi^Q_x\} and {ΠyR}\{\Pi^R_y\},

S(QB)+S(RB)log21c+S(AB)S(Q|B) + S(R|B) \ge \log_2\frac{1}{c} + S(A|B)

where:

  • S(QB)=S(ρQB)S(ρB)S(Q|B) = S(\rho_{QB}) - S(\rho_B), with ρQB=x(ΠxQIB)ρAB(ΠxQIB)\rho_{QB} = \sum_x (\Pi^Q_x \otimes I_B) \rho_{AB} (\Pi^Q_x \otimes I_B), is the conditional von Neumann entropy of the measurement outcome QQ given access to BB,
  • c=maxx,yqxry2c = \max_{x,y} |\langle q_x | r_y \rangle|^2 is the maximum overlap between eigenstates of QQ and RR,
  • S(AB)=S(ρAB)S(ρB)S(A|B) = S(\rho_{AB}) - S(\rho_B) is the conditional von Neumann entropy prior to measurement.

The crucial feature is that S(AB)S(A|B) can be negative for states with quantum entanglement, thus reducing the lower bound below the memoryless case S(Q)+S(R)log2(1/c)S(Q) + S(R) \geq \log_2(1/c), and even allowing the sum of conditional uncertainties to approach zero for maximally entangled states (S(AB)=log2dS(A|B) = -\log_2 d for dd-dimensional AA), enabling perfect predictability in principle (Feng et al., 2013).

2. Mathematical Structure and Generalizations

2.1 Improved and State-Dependent Bounds

Subsequent extensions have tightened the QM-EUR. Notably, Xiao et al. incorporated the full set of largest overlaps between projective measurements, not just the maximal one, producing an improved lower bound (Xiao et al., 2016): S(PB)+S(QB)log2(1/C)+S(AB)S(P|B) + S(Q|B) \geq \log_2\left(1/\mathcal{C}\right) + S(A|B) where C\mathcal{C} is a functional of all dd largest overlaps c1,,cdc_1,\dots, c_d (for dd being the dimension of AA), with majorization coefficients Ωk\Omega_k systematically extracted from the overlap matrix. This strengthens the Coles–Piani bound and outperforms any previous state-of-the-art entropic lower bound for typical measurement scenarios.

Moreover, Adabi et al. and related works introduced state-dependent corrections involving Holevo quantities,

S(QB)+S(RB)log21c+S(AB)+max{0,I(A:B)[I(Q:B)+I(R:B)]}S(Q|B) + S(R|B) \geq \log_2\frac{1}{c} + S(A|B) + \max\{0,\,I(A:B) - [I(Q:B) + I(R:B)]\}

where I(A:B)I(A:B) denotes the quantum mutual information between AA and BB, and I(Q:B)I(Q:B), I(R:B)I(R:B) are the accessible informations about AA's QQ and RR outcomes stored in BB. This term enhances the bound whenever the memory correlation is not optimally “used up” by measurement statistics (Haseli, 2020, Haseli et al., 2019).

2.2 Multipartite and Multi-Measurement Extensions

Multipartite generalizations address uncertainty sharing across several quantum memories. For tripartite systems ρABC\rho_{ABC}, sharpened bounds read (Xu et al., 6 Jan 2025, Zhang et al., 2023, Ming et al., 2020, Dolatkhah et al., 2020): S(M1B)+S(M2C)QM1,2+max{0,Δ}S(M_1|B) + S(M_2|C) \geq Q^{M_{1,2}} + \max\{0, \Delta\} with QM1,2Q^{M_{1,2}} a strengthened overlap or admixture bound, and

Δ=S(A)I(M1:B)I(M2:C)\Delta = S(A) - I(M_1:B) - I(M_2:C)

reflecting how much of AA’s intrinsic entropy is not accessible via the memory systems.

For general multipartite, multi-measurement settings—involving nn memories and mm measurement choices partitioned among the memories—the most advanced lower bounds combine pairwise overlap terms, conditional entropies, mutual informations, and corrections maximizing over various combinations of quantum side information (Xu et al., 6 Jan 2025, Zhang et al., 2023): t=1nMiStS(MiBt)1m1i<jQMi,j+1m1t=1nmt(mt1)2S(ABt)+max{0,δmn,δmn}\sum_{t=1}^n \sum_{M_i \in \mathbf{S}_t} S(M_i|B_t) \geq \frac{1}{m-1}\sum_{i<j} Q^{M_{i,j}} + \frac{1}{m-1} \sum_{t=1}^n \frac{m_t(m_t-1)}{2} S(A|B_t) + \max\{0,\delta_{mn},\delta''_{mn}\} where δmn\delta_{mn}, δmn\delta''_{mn} are explicit functions of the system entropy, mutual informations, and Holevo quantities, optimized over measurement allocations.

2.3 Inclusion of POVMs and Coherence-Theoretic Methods

The QM-EUR framework is extended to arbitrary positive-operator-valued measures (POVMs) via the quantitative replacement of projective overlaps with operationally relevant terms such as hj(X1,X2)=kXk2Xj1Xk2h_j(X_1,X_2) = \|\sum_k X_k^2 X_j^1 X_k^2\|_\infty (Xu et al., 6 Jan 2025). Additionally, the entire machinery of resource theories—especially the relative entropy of coherence—admits direct application: H(XB)+H(ZB)=CrAB(X)+CrAB(Z)+2S(AB)H(X|B) + H(Z|B) = C_r^{A|B}(X) + C_r^{A|B}(Z) + 2 S(A|B) where CrAB(X)C_r^{A|B}(X) denotes the one-sided coherence of AA in basis XX with respect to BB (Dolatkhah et al., 2019).

3. Physical Scenarios and Dynamical Implications

3.1 Open-System and Relativistic Effects

Entangled quantum memories can be embedded in various physical platforms, each affecting QM-EUR tightness:

  • Topological Qubits in Fermionic/bosonic Baths: The degradation of entanglement under environmental coupling leads to dynamical increases in the QM-EUR lower bound. Super-Ohmic environments preserve quantum memory, and hence, tighter lower bounds prevail much longer compared to Ohmic or sub-Ohmic regimes (Haseli et al., 2019).
  • Quantum Dots and Thermal Fields: The temperature dependence of quantum-memory-assisted uncertainty is explicit in solid-state systems. Rising temperature destroys correlations, increasing entropic uncertainty; this effect can be exploited for benchmarking quantum memories and quantum thermometry (Haseli, 2020).
  • Relativistic Motion and Field Effects: Uniform acceleration of the memory (e.g., Unruh effect) or noninertial motion under cavity shielding modifies both mutual information and S(AB)S(A|B), yielding time- or acceleration-dependent modulation of the uncertainty bounds. In particular, periodic noninertial trajectories under cavity protection can periodically restore entanglement and recover the original bound (Feng et al., 2013, Haseli, 2019).

3.2 Robustness under Decoherence and Control

Studies in open, driven quantum systems show that the QM-EUR is more resilient than standard entanglement or discord measures under dissipation and dephasing. While entanglement (e.g., negativity) and discord typically decay rapidly under noise, the QM-EUR lower bound, reflecting quantum side-information, can remain considerably below the classical limit, attesting to the operational persistence of quantum memory even in decohered regimes (Mushtaq et al., 13 Nov 2025, Rahman et al., 2021).

4. Operational Implications: Cryptography, Entanglement, and Discord Monogamy

4.1 Security of Quantum Key Distribution

Tighter QM-EURs directly translate to more stringent lower bounds on secret key rates in quantum key distribution (QKD) protocols. In the Devetak–Winter framework, tighter uncertainty lower bounds for an adversary with a memory EE (e.g., S(QE)+S(RE)S(Q|E)+S(R|E)\geq bound) imply reduced accessible information and improved secrecy rates (Xiao et al., 2016, Haseli, 2020, Xu et al., 6 Jan 2025).

4.2 Entanglement and Coherence Certification

Negative conditional entropy S(AB)<0S(A|B)<0 serves both as a witness of entanglement and as a necessary condition for enhanced quantum teleportation fidelity. QM-EURs thus serve as operational benchmarks for entanglement in both static and dynamical contexts, with generalized Fano and measurement-based lower bounds providing experimentally accessible criteria (Hu et al., 2012).

4.3 Discord Shareability and Monogamy

By recasting tripartite and multipartite QM-EURs in terms of quantum discord, several recent works have derived computable, universal upper bounds on the shareability of discord—imposing new forms of monogamy constraints on quantum correlations. For any tripartite pure state, the sum of bipartite discords is bounded above by the local entropy and a positive entropy difference obtained from the QM-EUR, even amending prior claims that discord does not obey monogamy (Hu et al., 2013, Dolatkhah et al., 2021).

5. Experimental and Theoretical Applications

QM-EURs have been implemented in settings including photonic systems, trapped ions, semiconductor quantum dots, topological qubits, and relativistic cavity QED. Their applications range from real-time entanglement witnessing and device benchmarking to setting physical limits on quantum random number generation, quantum steering inequalities, and foundational tests of uncertainty in quantum gravity analogues.

6. Open Problems and Future Directions

Key challenges include the derivation of tight, non-additive multipartite QM-EURs that do not depend on max{0,}\max\{0, \cdot\} post-processing, the extension to continuous-variable systems and Rényi entropy formulations, and the paper of higher-order quantum correlations (e.g., genuine nn-party discord) in the context of multipartite memory and measurement. The systematic comparison of various strong majorization-based classical bounds and their quantum memory liftings for complex multipartite architectures remains an active area of research (Zhang et al., 2023, Xu et al., 6 Jan 2025).


In summary, quantum-memory-assisted entropic uncertainty relations have evolved into a unifying framework that not only generalizes the traditional Heisenberg and Maassen–Uffink uncertainty principles but also quantifies and certifies operationally meaningful quantum correlations—including entanglement, discord, and coherence—in the presence of quantum side-information. Their ongoing refinement and application continue to inform both the theory and practice of quantum information science, quantum communication, and the experimental exploration of quantum foundations.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (15)
Forward Email Streamline Icon: https://streamlinehq.com

Follow Topic

Get notified by email when new papers are published related to Quantum-Memory-Assisted Entropic Uncertainty (QM-EUR).