State preparation by shallow circuits using feed forward

Harry Buhrman1, Marten Folkertsma1, Bruno Loff2, and Niels M. P. Neumann1,3

1QuSoft, CWI & University of Amsterdam, Amsterdam, the Netherlands
2LASIGE & Department of Mathematics, University of Lisbon
3The Netherlands Organisation for Applied Scientific Research (TNO), Delft, the Netherlands

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Abstract

Fault tolerant quantum computers repetitively apply a four-step procedure: First, perform a few one and two-qubit quantum gates. Second, perform a syndrome measurement on a subset of the qubits. Third, perform fast classical computations to establish if and where errors occurred. And, fourth, correct the errors with a correction step. The next iteration applies the same procedure with new one and two-qubit gates. Even though current error-rates prohibit this procedure to work and fault tolerant quantum computing remains a distant goal, the same procedure can already prove useful today. In this work we make use of this four-step scheme not to carry out fault-tolerant computations, but to enhance short, $constant$-depth, quantum circuits that perform 1 qubit gates and $nearest-neighbor$ 2 qubit gates.

We introduce a new computational model called $\textit{Local Alternating Quantum Classical Computations}$ $\textsf{(LAQCC)}$. In this model, qubits are placed in a grid and they can only interact with their direct neighbors; the quantum circuits are of constant depth with intermediate measurements; a classical controller can perform log-depth computations on these intermediate measurement outcomes and control future quantum operations based on the outcome. This model fits naturally between quantum algorithms in the NISQ era and full-fledged fault-tolerant quantum computation. We first prove that any Clifford circuit has an equivalent $\textsf{LAQCC}$ circuit, and that any $\textsf{LAQCC}$ circuit can be simulated by a $\mathsf{QNC^1}$circuit. Next, we conjecture the non-simulatability of $\textsf{LAQCC}$ by showing that $\textsf{LAQCC}$ contains the class of Instantaneous Quantum Polynomial-time circuits. We also show that any $\textsf{LAQCC}$ circuit with polynomial-sized quantum circuits and unbounded classical computations is contained in the class of quantum circuits equipped with post-selection gates with respect to the task of state preparation. We continue by presenting $\textsf{LAQCC}$ implementations of different subroutines, including OR-gates, quantum Fourier transforms and Threshold gates. These subroutines prove vital in constructing three state preparation routines in the main part of this work. Preparing a uniform superposition uses constant-depth arithmetic gates, combined with an exact Grover implementation by Long. For the $W$-state, we employ a compress-uncompress method to switch between a binary and one-hot encoding. This method extends to the more generalized Dicke-states, the superposition of $n$-bit strings of Hamming weight $k$, for $k=\mathcal{O}(\sqrt{n})$, but fails for higher $k$ due to the birthday paradox. We extend this protocol to a protocol that prepares many-body scar states, highly excited states with low entanglement and longer coherence times than states with the same energy density. We present a circuit for preparing Dicke-states for larger $k$ requiring log-depth circuits that maps between the factoradic number system and the combinatorial number system.

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[44] Yifan Zhang, Sarang Gopalakrishnan, and Georgios Styliaris, "Characterizing Matrix-Product States and Projected Entangled-Pair States Preparable via Measurement and Feedback", PRX Quantum 5 4, 040304 (2024).

[45] Akel Hashim, Ming Yuan, Pranav Gokhale, Larry Chen, Christian Juenger, Neelay Fruitwala, Yilun Xu, Gang Huang, Kasra Nowrouzi, Liang Jiang, and Irfan Siddiqi, "Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback", arXiv:2403.18768, (2024).

[46] Siyuan Niu, Efekan Kokcu, Anupam Mitra, Aaron Szasz, Akel Hashim, Justin Kalloor, Wibe Albert de Jong, Costin Iancu, and Ed Younis, "AC/DC: Automated Compilation for Dynamic Circuits", arXiv:2412.07969, (2024).

[47] Zhenning Liu, Andrew M. Childs, and Daniel Gottesman, "Low-depth quantum symmetrization", arXiv:2411.04019, (2024).

[48] Gregory Boyd, "Low-Overhead Parallelisation of LCU via Commuting Operators", arXiv:2312.00696, (2023).

[49] David Raveh and Rafael I. Nepomechie, "Dicke states as matrix product states", Physical Review A 110 5, 052438 (2024).

[50] Ben Foxman, Natalie Parham, Francisca Vasconcelos, and Henry Yuen, "Random Unitaries in Constant (Quantum) Time", arXiv:2508.11487, (2025).

[51] Daniel Grier and Jackson Morris, "Quantum Threshold is Powerful", arXiv:2411.04953, (2024).

[52] Neer Patel, Anish Giri, Hrushikesh Pramod Patil, Noah Siekierski, Avimita Chatterjee, Sonika Johri, Timothy Proctor, Thomas Lubinski, and Siyuan Niu, "Platform-Agnostic Modular Architecture for Quantum Benchmarking", arXiv:2510.08469, (2025).

[53] Elisa Bäumer, David Sutter, and Stefan Woerner, "Approximate Quantum Fourier Transform in Logarithmic Depth on a Line", arXiv:2504.20832, (2025).

[54] Victor V. Albert and Philippe Faist, "Handbook of Error-Correcting Codes", arXiv:2606.11484, (2026).

[55] Noah B. Kerzner, Federico Galeazzi, and Rafael I. Nepomechie, "Simple ways of preparing qudit Dicke states", arXiv:2507.13308, (2025).

[56] Alberto Giuseppe Catalano, Ceren Dağ, Gianpaolo Torre, Salvatore Marco Giampaolo, and Fabio Franchini, "Experimental preparation of $W$ states through frustration on a programmable quantum simulator", arXiv:2510.17974, (2025).

[57] Stephen Fenner and Rabins Wosti, "Quantum Fanout and GHZ states using spin-exchange interactions", arXiv:2502.10602, (2025).

[58] Laurin E. Fischer, "Enabling large-scale digital quantum simulations with superconducting qubits", arXiv:2602.04719, (2026).

[59] Melody Lee and Roland C. Farrell, "Studying energy-resolved transport with wavepacket dynamics on quantum computers", arXiv:2601.16180, (2026).

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[62] Pooja Rao, Dimitar Trenev, Jerome Gonthier, Taylor Patti, Sebastian Stern, Tyler Takeshita, Yuri Alexeev, Cedric Lin, Sam McArdle, Justin Lietz, Katherine Klymko, Ermal Rrapaj, Norm Tubman, Krysta Svore, Peter Komar, and Elica Kyoseva, "Performance Model for Hybrid Quantum-Classical Workflows", arXiv:2607.15426, (2026).

The above citations are from Crossref's cited-by service (last updated successfully 2026-08-19 14:27:07) and SAO/NASA ADS (last updated successfully 2026-08-19 14:27:10). The list may be incomplete as not all publishers provide suitable and complete citation data.