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Alok Shukla

Publications and source records attributed to Alok Shukla.

At least 19 recordsLinked to original sources

Tuning electronic properties and Schottky contact in graphene-based van der Waals heterostructures by electric gating and interlayer coupling

Van der Waals heterostructures (vdW HTSs) incorporating graphene (GE) have been an active area of research, both theoretical and experimental, due to their potential to yield devices with a wide variety of applications. In this paper, first-principles calculations are employed to investigate C$_{6}$N$_{6}$/GE, hg-C$_{3}$N$_{4}$/GE, and C$_{6}$N$_{6}$/hg-C$_{3}$N$_{4}$ 2D vdW HTSs. A systematic analysis of structural and thermodynamic stability, electronic, mechanical, and optical properties of semiconductor/metal and semiconductor/semiconductor interfaces is performed. Both semiconductor/metal HTSs form $n$-type Schottky contacts, which can be converted into $p$-type Schottky or Ohmic contacts by tuning the external perpendicular electric field and the interlayer coupling. In the semiconductor/semiconductor C$_{6}$N$_{6}$/hg-C$_{3}$N$_{4}$ HTS, the valence and conduction band edges originate from distinct layers, resulting in a type-II band alignment that promotes efficient electron-hole (e-h) separation. Furthermore, the band alignment can be effectively tuned between type-I and type-II by applying an external electric field and varying the interlayer distance. From the optical absorption spectra of the HTSs, we concluded that the C$_{6}$N$_{6}$/GE and hg-C$_{3}$N$_{4}$/GE exhibit an optical response across a wide frequency range, whereas the C$_{6}$N$_{6}$/hg-C$_{3}$N$_{4}$ HTS shows prominent activity primarily in the ultraviolet region. Using the $G_{0}W_{0}$+BSE approach, the exciton binding energies are also calculated for the gapped systems, namely C$_{6}$N$_{6}$, hg-C$_{3}$N$_{4}$ monolayers, and their HTS (C$_{6}$N$_{6}$/hg-C$_{3}$N$_{4}$), yielding values of 1.01 eV, 1.14 eV, and 1.18 eV, respectively, highlighting strong e-h interactions. Moreover, the band-edge analysis of C$_{6}$N$_{6}$/hg-C$_{3}$N$_{4}$ HTS further favors pronounced interlayer e-h coupling.

cond-mat.mtrl-sci

An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware

Quantum Phase Estimation (QPE) is a foundational algorithm for molecular ground-state energy estimation, but its deep circuit requirements make direct hardware execution impractical on Noisy Intermediate-Scale Quantum (NISQ) devices. We present an analytically grounded variational surrogate framework in which a shallow Variational Quantum Circuit (VQC) is trained to reproduce the QPE measurement distribution without any quantum circuit simulation. The training target is computed entirely classically via the Dirichlet kernel, evaluated directly from the Full Configuration Interaction (FCI) ground-state energy, the ancilla qubit count, and the time evolution parameter, eliminating the exponentially scaling simulation bottleneck of prior surrogate approaches. We apply this framework to the hydrogen molecule (H$_2$) with a symmetry-tapered Hamiltonian, conducting a four-stage experimental investigation on IBM Quantum hardware. Stage 1 compares linear and full entangler topologies for the $R_Y$-$R_Z$-$CZ$ ansatz, with and without XpXm Dynamical Decoupling (DD), across four distributional metrics (Hellinger distance, fidelity error, total variation distance, Jensen-Shannon divergence), identifying the linear entangler as optimal. Stage 2 varies VQC layers ($p=1$ to $5$) for the linear-entangler ansatz, identifying single-layer depth as optimal under hardware noise. Stage 3 applies this configuration to the reduced $R_Y$-$CZ$ ansatz, comparing ideal and noisy simulator-trained parameters. A supplementary noise analysis at $p \in \{8,64\}$ characterizes the depth-dependent interplay between circuit depth and DD effectiveness. The framework enables faithful QPE mimicry using a linearly scaling VQC, recovering the ground-state energy within the chemical accuracy threshold (1 kcal/mol), constituting a scalable, hardware-efficient paradigm for QPE-based molecular energy estimation on NISQ devices.

quant-ph

Correlated-Electron Theory of Triplet-Triplet Multiexciton States in Polypentacene

We present correlated-electron calculations of optical spin-singlet and triplet-triplet multiexciton states in three- and four-unit pentacene oligomers as microscopic models for polypentacene. The calculations use the Pariser-Parr-Pople Hamiltonian, multiple-reference singles and doubles configuration interaction, and a molecular exciton basis that resolves Frenkel, charge-transfer, and triplet-pair (T1T1) configurations in real space. We find that the complete set of 1(T1T1) eigenstates lies in a narrow, nearly degenerate energy window near the lowest optical exciton and that no eigenstate can be identified with a single localized triplet-pair configuration. Instead, each triplet-pair eigenstate is a quantum superposition of configurations containing all accessible intertriplet separations. This electronic structure explains the perceived absence of intramolecular triplet diffusion in pentacene oligomers, polypentacene, and polytetracene solutions, while leaving open the possibility of intermolecular singlet fission in films with appreciable interchain interactions.

cond-mat.mtrl-sci

Coincidence Correspondences and Nonlinear Root Geometry

We show that finite morphisms of smooth algebraic varieties naturally give rise to Cartan--Coxeter type structures. Starting from the self-fiber product $X\times_YX$ of a finite morphism $Q:X\to Y$, we construct local symmetry operators and intrinsic Cartan-type invariants from the geometry of its non-diagonal irreducible components. This provides a mechanism for reconstructing root-theoretic structures directly from algebraic correspondences rather than from reflection groups. A central part of the theory is a rank-two geometry associated with pairs of non-diagonal components. We establish a rank-two reduction theorem, derive explicit trace and determinant formulas for the corresponding operators, and obtain a classification into elliptic, parabolic, and hyperbolic transport types. These results yield intrinsic analogues of Cartan matrices, Coxeter transformations, exponents, and Dynkin diagrams associated with finite morphisms. We further prove rigidity theorems showing that the structures arising from a single finite morphism are highly constrained. To obtain richer geometries, we introduce transport atlases of compatible local finite covers equipped with connection data, leading to nonlinear Cartan fields with variable local geometry. This places classical Weyl and complex reflection geometries within a broader correspondence-based root theory extending beyond finite reflection groups.

math.AG

Strain-Engineered s-C$_3$N$_6$ Monolayer for Efficient Water Splitting: A first-principles study

Photocatalytic water splitting offers a sustainable route for solar-to-hydrogen energy conversion, yet identifying stable, metal-free semiconductors with suitable electronic, optical, and band-alignment properties remains challenging. Here, we investigate the structural, mechanical, electronic, optical, and photocatalytic properties of the two-dimensional s-C$_3$N$_6$ monolayer using first-principles calculations. Ab initio molecular dynamics and elastic constant analysis confirm its thermal and mechanical stability. Hybrid HSE06 calculations reveal pristine s-C$_3$N$_6$ is a direct-band-gap semiconductor (2.62 eV). However, its conduction-band minimum lies below the hydrogen reduction potential, preventing spontaneous hydrogen evolution. To overcome this limitation, we employ biaxial and uniaxial strains (-10% to +10%) to modulate its electronic structure. We find that compressive biaxial strains of -8% and -10% uniquely tune the band edges to straddle the redox potentials, enabling spontaneous overall water splitting. Crucially, these photocatalytically active states remain mechanically and thermally stable. Optical properties calculations show the fundamental gap in both pristine and strained structures is optically dark, with the primary absorption peak in the UV region. Furthermore, a strain-induced mobility mismatch between electrons and holes facilitates efficient charge separation. However, thermodynamic modeling of surface kinetics reveals that the s-C$_3$N$_6$ surface binds intermediates strongly, necessitating a co-catalyst to overcome kinetic barriers. Our results establish strain engineering as an effective strategy to tailor band-edge alignment, carrier dynamics, and optical transitions in s-C$_3$N$_6$, highlighting its potential for stable 2D photocatalytic water splitting.

cond-mat.mtrl-sci

Towards Chemically Accurate and Scalable Quantum Simulations on IQM Quantum Hardware: A Quantum-HPC Hybrid Approach

We present a large-scale experimental study of quantum-computing-based molecular simulation carried out on IQM's Sirius 24-qubit superconducting processor, utilizing up to 16 operational qubits. The work employs Sample-based Quantum Diagonalization (SQD) together with the Local Unitary Cluster Jastrow (LUCJ) ansatz to estimate ground-state energies for a set of benchmark molecules, including H$_2$, LiH, BeH$_2$, H$_2$O, and NH$_3$. In addition, we introduce a Linear-CNOT variant of the Unitary Coupled-Cluster Singles and Doubles (LCNot-UCCSD) ansatz within the SQD workflow, trading higher circuit depth for reduced classical preprocessing. A comparison between these ans\"atze is provided, clarifying their respective strengths, limitations, and suitability for near-term quantum hardware. We further explore potential energy landscapes through 1D scans for H$_2$ and HeH$^+$ using both STO-3G and 6-31G basis sets, and for LiH and BeH$_2$ in STO-3G. Extending beyond this, we demonstrate the experimental construction of a full 2D potential energy surface for the water molecule on quantum hardware, mapped over a 32 $\times$ 32 grid in bond length and bond angle. To move beyond small benchmark systems, we combine SQD(LUCJ) with Density Matrix Embedding Theory (DMET) to compute active-space energies for a set of ligand-like molecules, as well as the pharmacologically relevant amantadine system. Across all studies, the majority of quantum-computed energies agree with reference FCI results, as well as with DMET-CASCI energies for embedded systems, to within chemical accuracy for the chosen basis sets. These results demonstrate the reliability of sample-based diagonalization approaches and underscore the potential of hybrid embedding strategies for extending quantum simulations to increasingly complex molecular systems, while also highlighting their practicality on current IQM quantum hardware.

quant-ph

Tuning the optoelectronic properties of graphene quantum dots by BN-ring doping: A density functional theory study

Graphene monolayer is a material with zero band gap, because of which its applications in optoelectronics are limited. The question arises, can we modify the optoelectronic properties of graphene by doping it with other atoms? Synthesis of 2D monolayer of graphene doped with hetero-atoms such as boron and nitrogen, and a few computational studies of their structural and electronic properties were previously reported. In this work, we aim to answer this question for graphene quantum dots (GQDs) by replacing their carbon rings with $(BN)_3$ (borazine) hexagonal rings. We have studied in detail the geometry, electronic structure, and optical absorption spectra of fourteen different borazine-ring doped diamond-shaped GQDs using first-principles density functional theory (DFT). These BN-GQDs differ in the location, orientation, and the number of borazine rings. We computed their optical absorption spectra using time-dependent DFT (TDDFT) and examined: (a) for single-ring doped BN-GQDs the influence of ring location on optical properties, and (b) for double-ring doped systems, the influence of location, mutual distance and orientation of the rings on their absorption spectra. Frontier molecular orbitals are studied in detail to understand the nature of low-lying optical excitations. We also performed a group-theoretic analysis of the influence of their reduced symmetries on their optical properties. Our results indicate that BN-ring doping can achieve significant control over the optical properties of GQDs. The comparison of the optical absorption spectra of the BN-GQDs with the parent GQD shows remarkable spectral broadening with optical gap spanning over infrared to visible region. Thus, systematic BN-ring doping provides easy tunability of the electronic and optical properties of BN-GQDs, which is very promising for optoelectronic applications.

cond-mat.mtrl-sci

AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks

Instruction-based object addition is often hindered by the ambiguity of text-only prompts or the tedious nature of mask-based inputs. To address this usability gap, we introduce AbracADDbra, a user-friendly framework that leverages intuitive touch priors to spatially ground succinct instructions for precise placement. Our efficient, decoupled architecture uses a vision-language transformer for touch-guided placement, followed by a diffusion model that jointly generates the object and an instance mask for high-fidelity blending. To facilitate standardized evaluation, we contribute the Touch2Add benchmark for this interactive task. Our extensive evaluations, where our placement model significantly outperforms both random placement and general-purpose VLM baselines, confirm the framework's ability to produce high-fidelity edits. Furthermore, our analysis reveals a strong correlation between initial placement accuracy and final edit quality, validating our decoupled approach. This work thus paves the way for more accessible and efficient creative tools.

cs.CV

Quantum Detection of Sequency-Band Structure

We present a quantum algorithm for estimating the amplitude content of user-specified sequency bands in quantum-encoded signals. The method employs a sequency-ordered Quantum Walsh-Hadamard Transform (QWHT), a comparator-based oracle that coherently marks basis states within an arbitrary sequency range, and Quantum Amplitude Estimation (QAE) to estimate the total probability mass in the selected band. This enables the detection of structured signal components, including both high- and low-sequency features, as well as the identification of rapid sign-change behavior associated with noise or anomalies. The proposed method can be embedded as a module within a larger quantum algorithm; in this setting, both the input and output remain fully quantum, enabling seamless integration with upstream and downstream quantum operations. We show that the sequency-ordered QWHT can be implemented with circuit depth $O(\log_2 N)$ (equivalently $O(n)$ for $N=2^n$) when acting on an amplitude-encoded quantum state, whereas computing the full Walsh-Hadamard spectrum of an explicit length-$N$ classical signal requires $O(N\log_2 N)$ operations via the fast Walsh-Hadamard transform. This results in an exponential quantum advantage when the QWHT is used as a modular block within a larger quantum algorithm, relative to classical fast Walsh-Hadamard transform-based approaches operating on explicit data. From an application perspective, the proposed sequency band-energy estimation may be interpreted as a structure-based anomaly indicator, enabling the detection of unexpected high-sequency components relative to a nominal low-sequency signal class. The algorithm is applicable to quantum-enhanced signal processing tasks such as zero-crossing analysis, band-limited noise estimation, and feature extraction in the Walsh basis.

quant-ph

Engineering the electronic structure of TiO$_2$ by transition metal doping: A First Principles DFT Study

By means of first-principles density-functional theory (DFT) calculations, we perform a comparative analysis of the electronic and magnetic properties of transition metal-doped TiO$_2$. The electronic band gaps of Ti$_x$M$_{1-x}$O$_2$, where M represents 3d-transition metals such as Sc, V, Cr, Mn, Fe, Co, Ni, Cu, and Zn have been determined using the PBE functional within the generalized-gradient approximation (GGA) scheme, and also using the hybrid HSE06 functional. In the context of pure TiO$_2$, the partial density of states (PDOS) reveals that the electronic band gap emerges between the O-2p and Ti-3d orbitals. It is suggested that the Ti-3d ($t_{2g}$) states play a more prominent role in bonding compared to the Ti-3d ($e_g$) states. We performed DFT calculations to investigate the impact of doping with other 3d transition metal atoms, leading to the emergence of impurity states within the band gap. The hybridization between the oxygen 2p orbitals and the titanium 3d orbitals in TiO$_2$ is altered by the introduction of doping with 3d transition metals because of the change in the oxidation state of titanium, shifting from solely 4+ to a combination of 4+ and 3+ states. The calculation of spin-polarized density demonstrates the emergence of ferromagnetic properties, particularly in titanium dioxide doped with chromium (Cr), manganese (Mn), and iron (Fe) with large magnetic moments. Our work demonstrates the significant impact of doping transition metals on TiO$_2$, allowing for the precise manipulation of electrical and magnetic properties, and thus holds great potential for the development of spin-based memory devices with possible neuromorphic applications.

cond-mat.mtrl-sci

Geometry, electronic structure, and optical properties of boron cages: A first-principles DFT study

A systematic study of the structural, electronic, and optical properties of cage-like boron clusters, with the number of constituent atoms ranging from 20 to 122, has been carried out within the framework of density-functional theory (DFT), employing 6-31G(d, p) extended basis set. The dynamic stability of the clusters is analyzed through the vibrational frequency analysis, while to study the thermodynamic stability, we computed their binding energies per atom. The results suggest that the 32- and 92-atom cages are the most stable among the small and the large structures. The optical absorption spectra of these cages is computed using the time-dependent densityfunctional theory (TDDFT), which suggests their applications in optoelectronic devices in the visible range of the spectrum.

cond-mat.mtrl-sci

A Modular, Adaptive, and Scalable Quantum Factoring Algorithm

Shor's algorithm for integer factorization offers an exponential speedup over classical methods but remains impractical on Noisy Intermediate Scale Quantum (NISQ) hardware due to the need for many coherent qubits and very deep circuits. Building on our recent work on adaptive and windowed phase-estimation methods, we have developed a modular, windowed formulation of Shor's algorithm that mitigates these limitations by restructuring phase estimation into shallow, independent circuit blocks that can be executed sequentially or in parallel, followed by lightweight classical postprocessing. This approach allows for a reduction in the size of the phase (or counting) register from a large number of qubits down to a small, fixed block size of only a few qubits (for example, three or four phase qubits were sufficient for the computational examples considered in this work), while leaving the work register requirement unchanged. The independence of the blocks allows for parallel execution and makes the approach more compatible with near-term hardware than the standard Shor's formulation. An additional feature of the framework is the overlap mechanism, which introduces redundancy between blocks and enables robust reconstruction of phase information, though zero-overlap configurations can also succeed in certain regimes. Numerical simulations verify the correctness of the modular formulation while also showing substantial reductions in counting qubits per block.

quant-ph

Electric-field induced half-metallicity in a two-dimensional ferromagnetic Janus VSSe bilayer

Two-dimensional (2D) half-metals with intrinsic ferromagnetism hold great potential for applications in spintronics. In this study, we aim to expand the known space of such 2D ferromagnetic (FM) half-metals by investigating bilayer of Janus VSSe, an FM semiconductor. Its structural, electronic, and magnetic properties are examined using density functional theory, employing the DFT+$U$ method, coupled with the PBE functional. The stability of the bilayer is examined using ab initio molecular dynamics simulations at finite temperatures up to 400 K. To ensure the stability further, the elastic constants of the system have also been investigated and we found that VSSe bilayer manifests an easy plane of magnetization similar to its monolayer counterpart. At the DFT+$U$ level, the considered VSSe bilayer exhibits a tendency towards half-metallicity with a small band gap of 0.11 eV for the majority spin carriers, and of 0.66 eV for the minority ones. To include a transition from a semiconductor to a half-metal, the bilayer is subjected to an external electric field of varying strengths normal to the plane. The lack of horizontal mirror symmetry in the bilayer allows bidirectional tuning of the band gap, with different values for the field in "upward" and "downward" directions. The band gaps for the two spin channels increase with the increasing upward electric field, while the opposite happens for the downward fields, with the majority carrier gap closing at 0.16 V/$\unicode{x212B}$, making the material a spin gapless semiconductor. Further increase in the electric field renders the material half metallic at 0.18 V/$\unicode{x212B}$. Given the fact that these values of the external electric field are achievable in the lab suggests that the FM Janus VSSe bilayer is a promising candidate for spintronic devices.

cond-mat.mtrl-sci

Modular Quantum Amplitude Estimation: A Scalable and Adaptive Framework

Quantum Amplitude Estimation (QAE) is a key primitive in quantum computing, but its standard implementation using Quantum Phase Estimation is resource-intensive, requiring a large number of coherent qubits in a single circuit block to achieve high precision. This presents a significant challenge for near-term Noisy Intermediate-Scale Quantum (NISQ) devices. To address this, we introduce the Adaptive Windowed Quantum Amplitude Estimation (AWQAE) framework, a modular, scalable and adaptive approach that decouples estimation precision from the number of physical qubits required in a single circuit. AWQAE operates by iteratively estimating the phase bits in small, fixed-size chunks, using a number of smaller, independent quantum circuits, which are amenable to parallel processing. A key technical contribution of this work is introduction of a phase resolution circuit and an ancilla-guided mechanism that enables accurate chunk assignment and eigenphase reconstruction in the presence of multiple eigenstates. This design is inherently NISQ-friendly, by lowering circuit depth and qubit count per block to reduce decoherence and noise effects. A key component of our approach is a robust classical post-processing algorithm that resolves measurement ambiguities that arise during the iterative process. This post-processing routine uses a least-significant-bit (LSB)-to-most-significant-bit (MSB) correction to reconstruct the full, high-precision phase estimate, ensuring accuracy. By combining a modular quantum-classical loop with an ambiguity-aware reconstruction method, AWQAE offers a powerful and flexible solution for performing high-precision QAE on resource-constrained quantum hardware. Our approach demonstrates enhanced scalability, and adaptability, making it a promising candidate for practical applications of QAE in the NISQ era.

quant-ph

Towards Practical Quantum Phase Estimation: A Modular, Scalable, and Adaptive Approach

Quantum Phase Estimation (QPE) is a cornerstone algorithm in quantum computing, with applications ranging from integer factorization to quantum chemistry simulations. However, the resource demands of standard QPE, which require a large number of coherent qubits and deep circuits, pose significant challenges for current Noisy Intermediate Scale Quantum (NISQ) devices. In this work, we introduce the Adaptive Windowed Quantum Phase Estimation (AWQPE) algorithm, a novel method designed to address the limitations of standard QPE. AWQPE utilizes small, independent blocks of $m > 1$ control qubits to estimate multiple phase bits simultaneously within a "window,'' thereby significantly reducing the number of iterations required to achieve a desired precision. These independent blocks are amenable to parallelization and, when combined with a robust least-significant-bit (LSB) to most-significant-bit (MSB) ambiguity resolution mechanism, enhance the algorithm's accuracy while mitigating the risk of error propagation. Our numerical simulations demonstrate AWQPE's accuracy and robustness, showcasing a distinct balance between resource efficiency and computational speed. This makes AWQPE particularly well-suited for near-term quantum platforms.

quant-ph

Quantum algorithm for edge detection in digital grayscale images

In this work, we propose a novel quantum algorithm for edge detection in digital grayscale images, based on the sequency-ordered Walsh-Hadamard transform. The proposed method significantly improves upon existing quantum techniques for edge detection by using a quantum algorithm for the sequency-ordered Walsh-Hadamard transform, achieving a circuit depth of $\mathcal{O}(n)$ (where $n$ is the number of qubits). This represents a notable enhancement over the Quantum Fourier Transform (QFT), which has a circuit depth of $\mathcal{O}(n^{2})$. Furthermore, our approach for edge detection has a computational cost (both gate complexity and quantum circuit depth) of $\mathcal{O}(\log_{2}(N_{1}N_{2}))$ for an image of size $N_{1}\times N_{2}$, offering a considerable improvement over the Quantum Hadamard Edge Detection (QHED) algorithm, which incurs a cost of $\mathcal{O}(\text{poly}(\log_{2}(N_{1}N_{2})))$. By integrating a quantum high-pass filter with the sequency-ordered Walsh-Hadamard transform, the algorithm effectively extracts edge information from images. Computational examples are provided to demonstrate the efficacy of the proposed algorithm which provides a better performance in comparison to QHED.

quant-ph

Generalized tensor transforms and their applications in classical and quantum computing

We introduce a novel framework for Generalized Tensor Transforms (GTTs), constructed through an $n$-fold tensor product of an arbitrary $b \times b$ unitary matrix $W$. This construction generalizes many established transforms, by providing a adaptable set of orthonormal basis functions. Our proposed fast classical algorithm for GTT achieves an exponentially lower complexity of $O(N \log_b N)$ in comparison to a naive classical implementation that has an associated computational cost of $O(N^2)$. For quantum applications, our GTT-based algorithm, implemented in the natural spectral ordering, achieves both gate complexity and circuit depth of $O(\log_b N)$, where $N = b^n$ denotes the length of the input vector. This represents a quadratic improvement over Quantum Fourier Transform (QFT), which requires $O((\log_b N)^2)$ gates and depth for $n$ qudits, and an exponential advantage over classical Fast Fourier Transform (FFT) based and Fast Walsh-Hadamard Transform (FWHT) based methods, which incur a computational cost of $O(N \log_b N)$. We explore diverse applications of GTTs in quantum computing, including quantum state compression and transmission, function encoding and quantum digital signal processing. The proposed framework provides fine-grained control of the transformation through the adjustable parameters of the base matrix $W$. This versatility allows precise shaping of each basis function while preserving their effective Walsh-type structure, thus tailoring basis representations to specific quantum data and computational tasks. Our numerical results demonstrate that GTTs enable improved performance in quantum state compression and function encoding compared to fixed transforms (such as FWHT or FFT), achieving higher fidelities with fewer retained components. We also provided novel classical and quantum digital signal filtering algorithms based on our GTT framework.

quant-ph

Computational study of geometry, electronic structure and low-lying excited states of linear T-graphene quantum dots

A few years ago, by means of first-principles calculations, Enyashin et al.(2011) proposed several novel monolayers of carbon containing rings other than hexagons. One of those monolayers containing tetragons and octagons was investigated later in detail by Liu et al.(2012) who called it T-graphene, and found that it exists both in strictly planar and buckled forms, with the planar structure being metallic in nature. Given the fact that Kotakoski et al.(2011) had already found experimental evidence of 1D carbon structures containing tetragons and octagons, we decided to investigate finite linear fragments of T-graphene, with the strictly planar structures, referred to as T-graphene quantum dots (TQDs). In order to avoid the dangling bonds in the finite T-graphene fragments, we considered the edges to be saturated by hydrogen atoms. We first optimized the geometries of the considered TQDs using a first-principles density-functional theory (DFT) methodology, followed by calculations of their linear optical absorption spectra using the time-dependent DFT (TDDFT) approach. Given the fact that strictly planar T-graphene structures will have $\sigma$-$\pi$ separation with the $\pi$ electrons near the Fermi level, we also parameterized an effective $\pi$-electron Hamiltonian for TQDs, similar to the Pariser-Parr-Pople model for $\pi$-conjugated molecules. We further used the effective Hamiltonian to perform high-order electron-correlated calculations using the configuration interaction (CI) approach to compute the optical absorption spectra of TQDs, and also their singlet-triplet gaps. The symmetry analysis reveals that TQDs are photoluminescent materials. Moreover, in all the TQDs HOMO-LUMO transition is optically forbidden, the optical gaps of these molecules are quite large, suggesting the intriguing possibility of the fission of a singlet optical exciton into several triplet excitons.

cond-mat.mtrl-sci