1. Introduction to Squeezed Light

Squeezed states of light are quantum states in which the uncertainty in one quadrature component is reduced below the standard quantum limit (shot noise), at the expense of increased uncertainty in the conjugate quadrature. This fundamental quantum resource enables noise reduction beyond classical limits.

Key Achievements

  • • 15 dB squeezing in LIGO detectors
  • • 10+ dB on-chip in TFLN platforms
  • • Continuous-wave and pulsed generation
  • • Broadband and narrowband sources

Applications

  • • Gravitational wave detection
  • • Quantum key distribution
  • • Quantum computing (CV)
  • • Precision metrology

2. Quantum States of Light

The electromagnetic field can be described by the bosonic annihilation and creation operators â and â†, satisfying [â, â†] = 1. The quadrature operators are defined as:

X̂ = (â + â†) / √2

P̂ = i(↠- â) / √2

[X̂, P̂] = i → ΔX · ΔP ≥ 1/2

Common Quantum States

State ΔX² ΔP² Properties
Vacuum |0⟩ 1/2 1/2 Minimum uncertainty, isotropic
Coherent |α⟩ 1/2 1/2 Displaced vacuum, laser light
Squeezed |r,θ⟩ e⁻²ʳ/2 e²ʳ/2 Anisotropic noise ellipse
Thermal (n̄+½) (n̄+½) Classical excess noise

3. Squeezed States in Detail

A squeezed vacuum state is generated by the squeezing operator Ŝ(ξ) = exp[½(ξ*â² - ξ↲)] where ξ = r·e^(iθ) is the complex squeezing parameter:

|ξ⟩ = Ŝ(ξ)|0⟩

r = squeezing parameter, θ = squeezing angle

Quadrature Variances

⟨ΔX²⟩ = ½ e⁻²ʳ (squeezed)

⟨ΔP²⟩ = ½ e⁺²ʳ (anti-squeezed)

Product: ⟨ΔX²⟩⟨ΔP²⟩ = ¼ (minimum uncertainty)

Squeezing in dB

S_dB = -10 log₁₀(e⁻²ʳ)

S_dB ≈ 8.686 × r

3 dB → r ≈ 0.35
10 dB → r ≈ 1.15
15 dB → r ≈ 1.73

Photon Statistics

Squeezed vacuum contains only even photon number states: |ξ⟩ = Σₙ cₙ|2n⟩. The mean photon number is ⟨n⟩ = sinh²(r), indicating more photons at higher squeezing.

4. Gaussian Quantum States

Gaussian states are fully characterized by their first moments (mean field) and second moments (covariance matrix). For an N-mode system with quadratures ξ = (X₁, P₁, X₂, P₂, ...):

σᵢⱼ = ½⟨{Δξᵢ, Δξⱼ}⟩

Covariance matrix with Δξᵢ = ξᵢ - ⟨ξᵢ⟩

Single-Mode Covariance Matrices

Vacuum/Coherent

σ = ½ [1  0]
    [0  1]

Squeezed (θ=0)

σ = ½ [e⁻²ʳ   0  ]
    [0    e²ʳ]

Thermal

σ = (n̄+½) [1  0]
         [0  1]

Wigner Function

The Wigner function for Gaussian states is a 2N-dimensional Gaussian: W(ξ) = (2π)⁻ᴺ (det σ)⁻½ exp[-½(ξ-μ)ᵀ σ⁻¹(ξ-μ)]

5. Kerr Squeezing (χ³ Nonlinearity)

Third-order nonlinearity in materials like silicon nitride (SiN) enables squeezing through self-phase modulation and four-wave mixing (FWM). The Kerr Hamiltonian is:

Ĥ_Kerr = ℏg ↲ â²

g = χ³ nonlinear coupling rate

Four-Wave Mixing Process

In degenerate FWM, two pump photons (ωₚ) are converted to signal and idler photons:

2ωₚ → ωₛ + ωᵢ

The signal and idler modes become correlated, producing two-mode squeezing. In a ring resonator, this creates squeezed vacuum at the output coupler.

SiN Parameters

  • • n₂ ≈ 2.4 × 10⁻¹⁹ m²/W
  • • Propagation loss: 0.1-1 dB/cm
  • • Achievable squeezing: 3-10 dB
  • • Typical pump power: 10-100 mW

Advantages

  • • CMOS-compatible fabrication
  • • High optical damage threshold
  • • Broadband phase matching
  • • Mature fabrication technology

6. OPA Squeezing (χ² Nonlinearity)

Second-order nonlinearity in materials like thin-film lithium niobate (TFLN) enables parametric down-conversion and optical parametric amplification:

Ĥ_OPA = iℏκ(â²e⁻ⁱᶿ - ↲eⁱᶿ)

κ = parametric coupling rate ∝ χ² × E_pump

Parametric Down-Conversion

A pump photon at 2ω is converted to two signal photons at ω:

ω_pump → ω_signal + ω_idler (degenerate: ω_s = ω_i)

The squeezing parameter grows with interaction length: r ∝ κL. Below threshold, this produces squeezed vacuum with high purity.

TFLN Parameters

  • • d_eff ≈ 27 pm/V (d₃₃)
  • • Propagation loss: 0.03-0.1 dB/cm
  • • Achievable squeezing: 10-15+ dB
  • • Typical pump power: 1-10 mW

Advantages

  • • Stronger nonlinearity than χ³
  • • Higher squeezing levels possible
  • • Lower pump power requirements
  • • Electro-optic tuning capability

7. Ring Resonator Physics

Microring resonators enhance nonlinear interactions by confining light in a small mode volume and providing resonant intensity buildup:

Key Parameters

Quality Factor

Q = ω₀ / κ_total

Free Spectral Range

FSR = c / (n_g × L)

Finesse

F = FSR / Δν = π√(r) / (1-r)

Coupling Regimes

Over-coupled

κ_ex > κ_i: Maximum escape efficiency

Critical coupling

κ_ex = κ_i: Maximum extinction

Under-coupled

κ_ex < κ_i: High internal buildup

η_escape = κ_ex / (κ_ex + κ_i)

Escape efficiency determines output squeezing

8. Squeezing Detection Methods

Homodyne Detection

Measures single quadrature by interfering with a strong local oscillator (LO):

î_diff = |α_LO| (X̂ cos θ + P̂ sin θ)

  • • LO phase θ selects quadrature
  • • Balanced detection cancels classical noise
  • • Limited to one quadrature per measurement

Heterodyne Detection

Measures both quadratures simultaneously with added noise:

X̂_m, P̂_m with ΔX² = ΔP² = 1

  • • 3 dB noise penalty vs homodyne
  • • Full state tomography possible
  • • Used in CV-QKD receivers

Detection Efficiency

The total detection efficiency η_det determines measured squeezing: V_measured = η_det × V_squeezed + (1 - η_det) × V_vacuum. High-efficiency InGaAs photodiodes achieve η > 95%.

9. Loss & Decoherence

Optical loss is the primary challenge for maintaining squeezed states. Any loss η < 1 degrades squeezing by mixing with vacuum noise:

V_out = η × V_in + (1 - η)

V = 1 for vacuum (shot noise level)

Loss Sources in PIC Squeezers

Source Typical Value Mitigation
Propagation loss 0.1-1 dB/cm High-quality film deposition
Coupling loss 1-3 dB/facet Mode converters, tapers
Filter insertion loss 0.5-2 dB Integrated filter design
Detector efficiency 90-98% High-QE photodiodes

10. Material Platforms Comparison

Property SiN (χ³) TFLN (χ²) Si (χ³)
Nonlinearity n₂ ≈ 2.4×10⁻¹⁹ d₃₃ ≈ 27 pm/V n₂ ≈ 4.5×10⁻¹⁸
Prop. loss (dB/cm) 0.1-1 0.03-0.1 1-3
Max squeezing 3-10 dB 10-15+ dB 1-5 dB
Pump power 10-100 mW 1-10 mW 50-200 mW
Fab maturity High Emerging Very High
EO tuning No Yes No

11. Applications of Squeezed Light

Gravitational Wave Detection

LIGO and Virgo inject squeezed vacuum to reduce quantum noise, improving sensitivity by up to 3 dB. Future detectors target 10+ dB squeezing with frequency-dependent rotation for broadband improvement.

Quantum Key Distribution

CV-QKD uses squeezed or coherent states for secure key generation. Squeezing improves the secret key rate and extends transmission distance by reducing excess noise relative to shot noise.

Quantum Computing

Continuous-variable quantum computing uses squeezed states as resources for measurement-based computation. Cluster states are built from entangled squeezed modes for universal quantum gates.

Precision Metrology

Squeezed light enables sub-shot-noise measurements in interferometry, spectroscopy, and microscopy. Applications include biological imaging, atomic clocks, and magnetometry.

References

1. Walls, D. F. & Milburn, G. J. "Quantum Optics" (Springer, 2008)

2. Andersen, U. L. et al. "30 years of squeezed light generation" Phys. Scr. 91, 053001 (2016)

3. Zhao, Y. et al. "Near-Degenerate Quadrature-Squeezed Vacuum Generation on a Silicon-Nitride Chip" PRL 124, 193601 (2020)

4. Nehra, R. et al. "Few-cycle vacuum squeezing in nanophotonics" Science 377, 1333 (2022)

5. Kashiwazaki, T. et al. "Continuous-wave 6-dB-squeezed light with 2.5-THz-bandwidth from single-mode PPLN waveguide" APL Photonics 5, 036104 (2020)

6. Vahlbruch, H. et al. "Detection of 15 dB Squeezed States of Light and their Application for the Absolute Calibration of Photoelectric Quantum Efficiency" PRL 117, 110801 (2016)

7. Aasi, J. et al. "Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light" Nature Photon 7, 613 (2013)