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arXiv:2610.01462

Unbounded separation between definite and indefinite causal order in finite-dimensional quantum metrology

Yanglin Hu, Zi-Shen Li, Giulio Chiribella, Yuxiang Yang

quant-phSubmitted Oct 1, 2026• Announced Oct 2, 2026• 0 citations
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Abstract

Indefinite causal order is known to offer enhancements in quantum metrology, notably including an unbounded advantage in the measurement of a geometric phase of a harmonic oscillator. This advantage, however, is specific to the infinite dimensional setting, and its finite dimensional analogue remains elusive, with recent findings suggesting that advantages in finite dimensions may be fundamentally limited to bounded constant factors. Here we show that, in fact, arbitrarily large advantages arise for finite dimensional systems in the finite sample regime. Specifically, we establish an unbounded separation between definite and indefinite causal order in the estimation of a geometric phase associated to two sets of $N$ displacements generated by discrete position and momentum operators on a $d$-dimensional quantum system: for any given constant $R$, there exist values of $N$ and $d=Ω(N^2)$ such that a strategy with indefinite order uses an initial probe with $R$ times less energy than the probe required by every strategy with definite order achieving the same mean squared error, whenever the number of measurement shots $ν$ is bounded as $ν=\mathcal{O}(\exp(πd/16)/\mathrm{poly}(d))$. In other words, indefinite order offers an energy saving that grows arbitrarily large with the parameters of the problem. To prove this result, we establish an approximate Weyl relation for discrete Gaussian wavepackets, which is of independent technical interest.

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47 pages, 3 figures

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Indefinite causal order is known to offer enhancements in quantum metrology, notably including an unbounded advantage in the measurement of a geometric phase of a harmonic oscillator. This advantage, however, is specific to the infinite dimensional setting, and its finite dimensional analogue remains elusive, with recent findings suggesting that advantages in finite dimensions may be fundamentally limited to bounded constant factors. Here we show that, in fact, arbitrarily large advantages arise for finite dimensional systems in the finite sample regime. Specifically, we establish an unbounded separation between definite and indefinite causal order in the estimation of a geometric phase associated to two sets of NNN displacements generated by discrete position and momentum operators on a ddd-dimensional quantum system: for any given constant RRR, there exist values of NNN and d=Ω(N2)d=Ω(N^2)d=Ω(N2) such that a strategy with indefinite order uses an initial probe with RRR times less energy than the probe required by every strategy with definite order achieving the same mean squared error, whenever the number of measurement shots ννν is bounded as ν=O(exp⁡(πd/16)/poly(d))ν=\mathcal{O}(\exp(πd/16)/\mathrm{poly}(d))ν=O(exp(πd/16)/poly(d)). In other words, indefinite order offers an energy saving that grows arbitrarily large with the parameters of the problem. To prove this result, we establish an approximate Weyl relation for discrete Gaussian wavepackets, which is of independent technical interest.
Quantum metrology with indefinite causal order (ICO) has attracted intense interest due to its potential to surpass the limitations of conventional fixed-order strategies. A key open question is whether ICO can fundamentally enhance asymptotic precision scaling. In this work, we bridge this gap for the estimation of a single parameter encoded in NNN identical uses of a finite-dimensional quantum channel. We first establish a universal Heisenberg-scaling upper bound for the full general ICO process-matrix class and show that for unitary channels its optimal quantum Fisher information (QFI) coincides exactly with that of parallel strategies. For noisy channels, a structurally refined bound shows that channels restricted to the standard quantum limit (SQL) under parallel strategies remain SQL-limited under general ICO strategies. Most significantly, an asymptotically tight (AT) bound is derived to close the remaining possibility of an asymptotic ICO advantage by showing that general ICO and optimal parallel strategies have exactly the same leading QFI coefficient in both the SQL and Heisenberg regimes. For the operationally motivated class of quantum circuits with quantum control of causal order, we further obtain an iterative constraint on finite-query precision whose asymptotic limit agrees with that of the AT bound. Our results clarify the ultimate role of indefinite causality as a metrological resource for quantum channel estimation.
We address the study of quantum metrology enhanced by indefinite causal order, demonstrating a quadratic advantage in the estimation of the product of two average displacements in a continuous variable system. We prove that no setup where the displacements are used in a fixed order can have root-mean-square error vanishing faster than the Heisenberg limit 1/N, where N is the number of displacements contributing to the average. In stark contrast, we show that a setup that probes the displacements in a superposition of two alternative orders yields a root-mean-square error vanishing with super-Heisenberg scaling 1/N^{2}, which we prove to be optimal among all superpositions of setups with definite causal order. Our result opens up the study of new measurement setups where quantum processes are probed in an indefinite order, and suggests enhanced tests of the canonical commutation relations, with potential applications to quantum gravity.
The quantum switch, the canonical example of a process with indefinite causal order, has been claimed to provide various advantages over processes with definite causal orders for some particular tasks in the field of quantum metrology. In this work, we argue that some of these advantages in fact do not hold if a fairer comparison is made. To this end, we consider a framework that allows for a proper comparison between the performance, quantified by the quantum Fisher information, of different classes of indefinite causal order processes and that of causal strategies on a given metrological task. More generally, by considering the recently proposed classes of circuits with classical or quantum control of the causal order, we come up with different examples where processes with indefinite causal order offer (or not) an advantage over processes with definite causal order, qualifying the interest of indefinite causal order regarding quantum metrology. As it turns out, for a range of examples, the class of quantum circuits with quantum control of causal order, which are known to be physically realizable, is shown to provide a strict advantage over causally ordered quantum circuits as well as over the class of quantum circuits with causal superposition. Thus, the consideration of this class provides new evidence that indefinite causal order strategies can strictly outperform definite causal order strategies in quantum metrology.
We identify single-mode Gaussian probes, generated by displacement and squeezing operations on the vacuum state, which are optimal for the simultaneous estimation of displacement and squeezing operations in continuous-variable quantum systems. Importantly, our results reveal that the best precision at a fixed energy is achieved not by an experimentally costly squeezing resource, but rather by redirecting some of the energy towards displacement, thus allowing for more resource-effective operations. Furthermore, introducing indefinite causal order (ICO) in either the probe preparation or parameter encoding step can surpass the Gaussian precision bound, even though the optimal Gaussian probe state is agnostic to the ordering of the operations. Specifically, we observe that odd-parity superpositions of the two definite orders can enhance precision over optimal Gaussian probes in specific parameter regimes. Further, the observed advantage cannot be attributed solely to non-Gaussianity, as quantified by the relative entropy of non-Gaussianity, highlighting ICO as an independent resource for enhancing multiparameter estimation.
Indefinite causal order has attracted a growing attention during the last decade, with the quantum switch being its most prominent instance. The quantum switch has been implemented in several photonic experiments and has also provided computational advantages in several tasks. However, indefinite causal order on continuous-variable (CV) quantum systems has been barely studied. This thesis suggests that applications of indefinite causal order on CV quantum systems may offer broader advantages than using finite-dimensional quantum systems. We follow an exploratory approach comparing the performance of the quantum switch with high-dimensional and CV quantum systems in some applications to quantum computing and quantum metrology. In particular, we use Complex Hadamard matrices to introduce a generalised family of promise problems, which reduces to the known Fourier and Hadamard promise problems as limiting cases. We show that the quantum switch provides query advantage for both the continuous and discrete cases, and prove that a CV system is necessary for implementing the most general promise problem. In addition, we propose an estimation procedure for d-dimensional unitary transformations using the quantum switch. For d > 2, the unitary transformations close to the identity are estimated saturating the quantum Cram´ er-Rao bound. For d = 2, the estimation of all unitary transformations is also optimal with some prior information. We replace the unitary transformation by an arbitrary quantum channel and show that our procedure encodes the χ matrix of the channel in the output state of the control system. Although indefinite causal order does not offer metrological advantage in our proposal, it is worthy to note that an extension to the CV regime would require an infinite-dimensional control system. This inspires the introduction of the quantum switch with continuous control, which leads to new phenomena such as the accelerando/rallentando effect. We conclude that using CV systems enlarges the number of tasks benefited by indefinite causal order and exhibits new phenomena within the field.
A central challenge in quantum metrology is to effectively harness quantum resources to surpass classical precision bounds. Although recent studies suggest that the indefinite causal order may enable sensitivities to attain the super-Heisenberg scaling, the physical origins of such enhancements remain elusive. Here, we introduce the nilpotency index K\mathcal{K}K, which quantifies the depth of non-commutativity between operators during the encoding process, can act as a fundamental parameter governing quantum-enhanced sensing. We show that a finite K\mathcal{K}K yields an enhanced scaling of root-mean-square error as N−(1+K)N^{-(1+\mathcal{K})}N−(1+K). Meanwhile, the requirement for indefinite causal order arises only when the nested commutators become constant. Remarkably, in the limit K→∞\mathcal{K} \to \inftyK→∞, exponential precision scaling N−1e−NN^{-1}e^{-N}N−1e−N is achievable. We propose experimentally feasible protocols implementing these mechanisms, providing a systematic pathway towards practical quantum-enhanced metrology.